· Exam · Babulal Tamang
AWS Certified Cloud Practitioner
Broad AWS map: services, billing, security basics, and how cloud maps to organizations.
Open in new tabAbout Me
Platform engineer in Kathmandu — shipping reliable cloud-native systems and writing about what I learn along the way.
Code, Automate, Scale – Build for the Future
I'm a Software Engineer and Platform Engineer with 5+ years of experience designing, building, and operating scalable cloud-native applications. I focus on backend development, cloud infrastructure, and DevOps automation so teams can ship resilient, high-performance software with confidence.
Grounded in microservices architecture, Kubernetes, and containerization, I streamline deployment pipelines, improve CI/CD reliability, and help keep production systems highly available. I work best in collaborative, fast-moving teams and stay current with cloud, platform engineering, and software delivery practices.
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Website babulal.com.np
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Phone +977-9863857035
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City Kathmandu, Nepal
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Email [email protected]
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Degree Master (MBA IT and BICT)
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Position Platform Engineer
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Freelance Available
Skills
Core strengths across platform engineering and backend development — the stack I use day to day in production.
Platform Engineering
- Linux & Shell Scripting
- Docker
- Kubernetes
- AWS & Cloud Services
- CI/CD (Tekton | GitHub Actions | Jenkins | GitLab CI)
- IaC (Terraform | Ansible)
- Monitoring, Logging and Alerting
Software Engineering
- Golang
- JavaScript
- Django & Python
- SQL & NoSQL Database Design
- Design Patterns and Microservices
- REST API, gRPC & WebSocket
- RabbitMQ, Kafka and Google Cloud Pub/Sub
Resume
Platform engineering, cloud infrastructure, and backend development — formatted for recruiters and hiring managers.
Babulal Tamang
Platform Engineer · Software Engineer (Go, Python) · Kubernetes
Platform engineer with 5+ years delivering cloud-native systems on AWS and GCP. Builds and operates Kubernetes platforms with Terraform, GitOps, and CI/CD; hardens containers and clusters with policy-as-code and shift-left security. Backend experience in Go microservices, observability, and enterprise DR. ISO/IEC 27001 & 42001 Lead Auditor; AWS Certified Cloud Practitioner.
- Kathmandu, Nepal
- +977-9863857035
- [email protected]
- babulal.com.np
- github.com/sugaml
Technical Skills
- Languages
- Go, Python, JavaScript, Shell
- Cloud
- AWS (EKS, EC2, S3, IAM, Lambda), GCP, Azure
- Platform & IaC
- Kubernetes, Helm, Terraform, Ansible, Docker, Argo CD, Istio, KEDA, Karpenter, OPA Gatekeeper
- CI/CD
- GitHub Actions, GitLab CI, Jenkins, Tekton, Bitbucket Pipelines
- Data & messaging
- PostgreSQL, MongoDB, Redis, Kafka, RabbitMQ, Pub/Sub
- Observability
- Prometheus, Grafana, Loki, ELK/EFK, CloudWatch, PagerDuty
- APIs & practices
- REST, gRPC, GraphQL, microservices, Agile, GitOps, secure-by-design
Certifications
- ISO/IEC 42001:2023 Lead Auditor · Mastermind Assurance · 2026
- ISO/IEC 27001:2022 Lead Auditor · Mastermind Assurance · 2026
- AWS Certified Cloud Practitioner · AWS · 2025
- Certified Cybersecurity Educator Professional (CCEP) · Red Team Leaders · 2026
- OPSWAT ICIP · OPSWAT · 2026
AWS Partner — Sales Accreditation & Technical Accredited (2025)
Education
MBA in Information Technology (MBA IT)
2023 – 2025
School of Management, Tribhuvan University · Kirtipur, Kathmandu
Bachelor of Information and Communication Technology (BICT)
2017 – 2022
Mahendra Ratna Campus, Tribhuvan University · Tahachal, Kathmandu
Professional Experience
Platform Engineer
2024 – Present
Cedargate Technologies · Lalitpur, Nepal
- Migrated Java-based legacy AWS Auto Scaling Group applications to Kubernetes—capacity planning, cutover strategy, and cloud-native runtime patterns.
- Designed and implemented the 4C security model (Cloud, Cluster, Container, Code) across platform engineering and delivery.
- Led platform modernization and standardization—cluster conventions, shared tooling, and repeatable delivery patterns for product teams.
- Designed and developed Kubernetes governance and management—labeling standards, fleet visibility, admission policy, and operational guardrails.
- Consult and collaborate with product teams on cloud architecture, platform best practices, and secure-by-design defaults.
- Developed a Kubernetes MCP-based server to expose cluster context and platform workflows for tooling and automation integrations.
- Maintain infrastructure to IaC standards with Terraform—module reuse, versioning, and consistent provisioning across AWS and GCP.
- Build and maintain golden container images to minimize attack surface—minimal bases, non-root execution, pinned digests, and CI vulnerability scanning.
- Enforce policy as code with OPA Gatekeeper—ConstraintTemplates and admission controls for labels, security contexts, and disallowed API fields.
- Operate and extend an Elasticsearch cluster and its APIs for search, indexing, and platform observability use cases.
- Own CI/CD pipelines (GitHub Actions, Tekton, Docker) with shift-left security—dependency, secret, IaC, and container scanning in the delivery path.
- Operate Kubernetes production workloads: KEDA, Karpenter, Istio, cert-manager, External Secrets; centralized logging and monitoring (Prometheus, Grafana, Loki/ELK, CloudWatch).
- Led enterprise disaster-recovery planning and migrated legacy healthcare analytics services to cloud-native EKS.
Software Engineer (Golang)
2023 – 2024
Cedargate Technologies · Lalitpur, Nepal
- Developed RESTful microservices in Go with clean architecture, concurrency patterns, and unit tests.
- Designed SQL/NoSQL schemas and integrated services with AWS, GCP, and Azure.
- Containerized services with Docker; deployed via Kubernetes, Helm, and Terraform-backed pipelines.
- Modernized legacy healthcare services into scalable, maintainable Go codebases.
Software Developer (Golang) · DevOps
2020 – 2023
Berrybytes · Lalitpur, Nepal
- Built REST, gRPC, WebSocket, and GraphQL APIs; integrated RabbitMQ, SQS, and Pub/Sub messaging.
- Delivered containerized microservices on Docker and Kubernetes with MongoDB, Firestore, and Datastore.
- Shipped features in Agile teams across AWS, GCP, Azure, and DigitalOcean environments.
Courses & Training
AWS Academy Graduate – Data Engineering
Amazon Web Services (AWS Academy) · 2025
Key topics & tools
- Big Data fundamentals and architecture
- Amazon EMR for distributed data processing using Hadoop and Spark
- Amazon S3 and HDFS for scalable storage and data management
- AWS Glue for ETL (Extract, Transform, Load) operations
- Amazon Kinesis for real-time data streaming
- Amazon OpenSearch for data indexing and analytics
- Amazon Redshift and Athena for large-scale data querying and analytics
- Amazon QuickSight for business intelligence and visualization
AWS Academy Graduate – Cloud Architecting
Amazon Web Services (AWS Academy) · 2026
Key topics & tools
- Well-Architected Framework — operational excellence, security, reliability, performance, cost
- Multi-AZ and high-availability design patterns
- VPC networking, compute, storage, and observability integration
- Loose coupling with queues, APIs, and event-driven patterns
- Data tier selection — relational, object, and cache layers
- Security-by-design — least privilege, segmentation, and logging
AWS Academy Graduate – Cloud Security Foundations
Amazon Web Services (AWS Academy) · 2025
Key topics & tools
- AWS shared responsibility model
- IAM roles, policies, and least-privilege access
- Detective controls — CloudTrail, logging, and alerting
- Data protection — encryption in transit and at rest
- Network security boundaries and secure account hygiene
AWS Academy Graduate – Generative AI Foundations
Amazon Web Services (AWS Academy) · 2026
Key topics & tools
- Generative AI concepts, use cases, and lifecycle
- Foundation models and responsible AI practices
- Privacy, bias, transparency, and human-in-the-loop workflows
- AWS managed AI services and secure experimentation patterns
AWS Academy Graduate – Machine Learning Foundations
Amazon Web Services (AWS Academy) · 2026
Key topics & tools
- Data preparation, labeling, splits, and leakage prevention
- Training vs inference — cost and operational profiles
- Common model families and evaluation baselines
- AWS storage, compute, and managed ML building blocks
- ML pipeline stages — prepare, train, evaluate, deploy
AWS Partner – Sales Accreditation & Technical Accredited
Amazon Web Services Training and Certification · 2025
Key topics
- Cloud business value, customer objections, and co-selling with AWS
- AWS global infrastructure, core services, migration, and security fundamentals
Foundations of Project Management
Google · Coursera · 2026
Key topics
- Project lifecycle, roles, and stakeholder communication
- Planning, scheduling, risk, and delivery fundamentals
Introduction to Gen AI
Cedar Gate Technologies · 2024
Key topics
- Generative AI fundamentals for enterprise users
- Practical awareness of Gen AI capabilities and safe use in the workplace
AWS Certified Data Analytics – Specialty Cert Prep: Storage and Data Management
LinkedIn Learning · 2024
Key topics & tools
- Cloud storage and data management on AWS
- DAS-C01 exam preparation — storage architectures and analytics data stores
AWS Certified Security – Specialty Cert Prep: Identity and Access Management
LinkedIn Learning · 2024
Key topics & tools
- AWS IAM deep dive — roles, policies, and access patterns
- SCS-C02 exam preparation — identity and access management controls
Learning Elastic Stack
LinkedIn Learning · 2024
Key topics & tools
- Elasticsearch, Logstash, and Kibana (ELK) stack fundamentals
- Indexing, search, and log analytics workflows
Building Web APIs with ASP.NET Core in .NET
LinkedIn Learning · 2024
Key topics
- RESTful API design and implementation with ASP.NET Core
- Routing, controllers, middleware, and API development patterns
American Business Communication and Culture
Batch 57 · 2024
Key topics
- 15-hour professional communication and American business culture training
- Cross-cultural workplace communication and collaboration
Certifications
Here are some of the certifications I've earned, which reflect my expertise and dedication to continuous learning.
American Business Communication and Culture
American business communication is direct, concise, and action-oriented, valuing clarity, efficiency, and professionalism.
Introduction to Gen AI
Generative AI refers to models that create new content like text, images, and music by learning patterns from existing data.
Storage and Data Management
Storage and Data Management involves efficiently storing, organizing, and securing data to ensure easy access, scalability, and integrity across systems.
Identity and Access Management
Identity and Access Management (IAM) is a critical component of cloud security, ensuring proper authentication, authorization, and management of user identities.
Web APIs with ASP.NET Core in .NET
Web APIs with ASP.NET Core in .NET focuses on building efficient and secure web services using the ASP.NET Core framework.
Elastic Stack
Elastic Stack is a powerful set of tools for managing and analyzing data in real-time, including Elasticsearch, Kibana, and Logstash.
2024 Danger Zone
The 2024 Danger Zone is a comprehensive training program designed to equip individuals with the skills and knowledge needed to navigate the challenges of the future.
Digital badges (Credly)
Verifiable credentials from Credly. Click a badge to view the public assertion.
Topic-by-topic articles (what I learned in each course) live under Blog. The Credly overview lists all badges with verification links.
Cybersecurity Survey
Graduate research project (MBA IT, School of Management, Tribhuvan University): cybersecurity awareness, digital behavior, and risk practices among university students in Nepal. Estimated time: about 5–7 minutes. Responses are confidential and used for academic purposes only.
The full survey form, QR code, and mobile-friendly redirect are on a dedicated page you can share for your thesis.
Open survey page Google FormsBlog
Posts on credentials, platform topics, FinOps & GreenOps, and more. Use Search to find a topic, or expand a category below.
AWS — certification & Academy
· Academy · Babulal Tamang
Cloud Architecting
Reliable designs: availability, coupling, data tiers, security as design input.
Open in new tab· Guide · Babulal Tamang
AWS EBS, S3, and EFS
Block vs object vs file storage on AWS: volume types, snapshots, deep S3 and EFS comparison, and when to use each.
Open in new tab· Guide · Babulal Tamang
EMR & Hadoop in depth
EMR clusters, HDFS, YARN, Spark, lake security, cost levers, and when to choose EMR vs Glue vs Athena.
Open in new tab· Guide · Babulal Tamang
Amazon S3 in depth
Object storage fundamentals: storage classes, security, replication, lifecycle, events, performance, and architect checklist.
Open in new tab· Guide · Babulal Tamang
AWS network architecture
VPC layering, IP planning, connectivity, multi-account hub-spoke, and security on the wire—for cloud architects.
Open in new tab· Guide · Babulal Tamang
IAM policy JSON anatomy
Version, Statement, Effect, Action, Resource, Condition—how IAM policies are structured and evaluated.
Open in new tab· Academy · Babulal Tamang
Cloud Security Foundations
IAM discipline, shared responsibility, logging, encryption—security as habit.
Open in new tab· Academy · Babulal Tamang
Data Engineering
Pipelines, ingestion, quality, and trustworthy data for analytics and ML.
Open in new tab· Academy · Babulal Tamang
Machine Learning Foundations
Data, training vs serving, model families, and AWS building blocks for ML.
Open in new tab· Academy · Babulal Tamang
Generative AI Foundations
Gen AI concepts, lifecycle, responsible use, and AWS context for experimentation.
Open in new tab· Partner · Babulal Tamang
AWS Partner enablement
Sales and technical accreditations: value, objections, and partner-ready AWS breadth.
Open in new tabData & databases
· Course notes · Babulal Tamang
SQL course (relational databases)
From SELECT and JOIN to window functions, indexes, transactions, normalization, and SQL in data engineering.
Open in new tabAI & ML
· Lab · Babulal Tamang
SageMaker Jupyter notebook lab
Launch a SageMaker notebook instance, explore JupyterLab, and load the UCI Vertebral Column dataset into pandas.
Open in new tab· Guide · Babulal Tamang
Supervised, unsupervised, and RL
The three core ML paradigms—labels, structure without labels, and learning from reward—with examples and when to use each.
Open in new tab· Guide · Babulal Tamang
Neural networks in depth
Perceptrons to deep learning: forward/backward pass, activations, loss, optimizers, architectures, and when neural nets beat classical ML.
Open in new tab· Guide · Babulal Tamang
Generative AI in depth
GANs, diffusion, LLMs, multimodal stacks, training lifecycle, production architecture, risks, and responsible deployment.
Open in new tab· Guide · Babulal Tamang
LLMs in depth
Tokens, generation, KV cache, decoding, RAG, evals, security, and production inference for large language models.
Open in new tab· Guide · Babulal Tamang
RAG in depth
Chunking, embeddings, hybrid search, reranking, evals, production architecture, and advanced RAG patterns.
Open in new tab· Guide · Babulal Tamang
AI foundation models in depth
Transformers, pre-training, alignment, RAG, fine-tuning, inference cost, production architecture, and limits.
Open in new tab· Reference · Babulal Tamang
AI and ML terminology
Practical glossary: AI vs ML vs Gen AI, training vs inference, RAG vs fine-tuning, evals, MLOps, and governance.
Open in new tab· Practice · Babulal Tamang
MLA-C01 practice question bank
334 MLA-C01 questions with explanations—data prep, model dev, deployment, monitoring, and security on SageMaker.
Open in new tab· Guide · Babulal Tamang
How to become an AI developer
Terminology, architecture, tech stack, learning path, and why AI matters for builders.
Open in new tab· Essay · Babulal Tamang
AI historical paradigms
From symbolic AI and expert systems to deep learning, transformers, and foundation models.
Open in new tabInterview prep
· Practice bank · Babulal Tamang
Interview aptitude (logical reasoning)
89 expandable MCQs—number series, analogies, syllogisms, puzzles, and tech reasoning for interview aptitude rounds.
Open in new tabPlatform & culture
· Guide · Babulal Tamang
MCP servers in depth
Model Context Protocol: host/client/server architecture, tools, resources, transports, security, and building MCP servers for Cursor and agents.
Open in new tab· Guide · Babulal Tamang
Computing in depth
Bits to cloud: CPU, memory, OS, networking, concurrency, security, and how the stack underpins platform engineering.
Open in new tab· Guide · Babulal Tamang
Terminal & DevOps
Linux command line handbook plus DevOps CLIs: shell, systemd, Git, Docker, kubectl, Terraform, cloud tools, jq, and tmux.
Open in new tab· Deep dive · Babulal Tamang
What happens when you run ls
From keystroke to pixels: PTY, shell fork/exec, syscalls, kernel VFS, and how GNU ls lists a directory.
Open in new tab· Essay · Babulal Tamang
Docker — the hidden side
Layers, namespaces, cgroups, networking, PID 1, security, and what tutorials skip about containers.
Open in new tab· Guide · Babulal Tamang
Alpine, Ubuntu, and scratch images
Build minimal containers from Docker scratch, official Alpine and Ubuntu bases, multi-stage rootfs copy, and static binaries.
Open in new tab· Guide · Babulal Tamang
Redis and redis-cli
In-memory data structures, caching patterns, persistence, and a practical redis-cli command reference.
Open in new tab· Essay · Babulal Tamang
Kubernetes for business
When, how, why, and where K8s fits—plain language for executives and product leaders.
Open in new tab· Course (5 parts) · Babulal Tamang
Kubernetes hands-on for beginners
Local lab (kind, k3s, minikube), YAML anatomy, first workloads, day-one best practices, and debugging.
Open in new tab· Essay · Babulal Tamang
Kubernetes architecture (simple)
Control plane vs worker nodes, core components, and how Pods, Deployments, and Services fit together.
Open in new tab· Guide · Babulal Tamang
Kubernetes networking in depth
Pods, ReplicaSets, Deployments, Services, Endpoints, and Ingress—how cluster traffic flows, kube-proxy, DNS, debugging order, and production checklist.
Open in new tab· Guide · Babulal Tamang
Node groups and node pools
EKS, AKS, and GKE worker pools—what they control, multi-pool patterns, taints, Cluster Autoscaler, spot, lifecycle, and why Pending Pods often start here.
Open in new tab· Guide · Babulal Tamang
Karpenter in depth
Scheduler-aware node provisioning on EKS—NodePools, consolidation, spot, vs Cluster Autoscaler and KEDA, and production debugging.
Open in new tab· Guide · Babulal Tamang
Kubernetes probes in depth
Liveness, readiness, and startup probes—handlers, timing, endpoint control, anti-patterns, debugging, and production checklist.
Open in new tab· Guide · Babulal Tamang
Kubernetes metrics server
metrics-server, Resource Metrics API, kubectl top, CPU/memory HPA, install and TLS pitfalls, vs Prometheus, and production troubleshooting.
Open in new tab· Guide · Babulal Tamang
Kubernetes CRI and CSI
Container Runtime Interface vs Container Storage Interface—how kubelet plugs in runtimes and how volumes attach, mount, and survive Pods.
Open in new tab· Guide · Babulal Tamang
Kubernetes HPA in depth
Horizontal Pod Autoscaler manifest anatomy: metrics types, replica formula, behavior policies, stabilization windows, status, and production troubleshooting.
Open in new tab· Guide · Babulal Tamang
KEDA in depth
Event-driven autoscaling: ScaledObject, scalers, scale to zero, HPA bridge, auth, production checklist, and troubleshooting for queue- and metric-shaped workloads.
Open in new tab· Guide · Babulal Tamang
PromQL in depth
Prometheus query language: data model, selectors, rate and histogram_quantile, aggregations, alerting rules, RED/USE patterns, Grafana tips, and cardinality pitfalls.
Open in new tab· Guide · Babulal Tamang
Velero in depth
Kubernetes backup and DR: BSL/VSL, snapshots vs Kopia FS backup, schedules, restore and migration, hooks, security, and production troubleshooting.
Open in new tab· Guide · Babulal Tamang
Kubernetes storage (PV, PVC, StorageClass)
Persistent volumes, claims, storage classes, dynamic provisioning, access modes, StatefulSets, and troubleshooting.
Open in new tab· Guide · Babulal Tamang
StatefulSet: PostgreSQL and Redis
Stable Pod identity, headless Services, volumeClaimTemplates, and full manifests for Postgres and Redis on Kubernetes—with HA patterns and ops trade-offs.
Open in new tab· Guide · Babulal Tamang
Kubernetes cluster RBAC
Roles, bindings, verbs, least privilege, and how the API server decides who may do what—without the guesswork.
Open in new tab· Playbook · Babulal Tamang
K8s troubleshooting playbook
Most common errors operators face—ImagePullBackOff, CrashLoopBackOff, probes, DNS, Ingress, PVC, RBAC—with fixes and kubectl commands.
Open in new tab· Essay · Babulal Tamang
Historical foundations of DevOps
From lean and agile roots through DevOpsDays, CI/CD, SRE, and platform engineering.
Open in new tab· Guide · Babulal Tamang
Terraform & IaC for everyone
Why Infrastructure as Code matters, how plan/apply works, and plain-language anatomy of .tf files and state.
Open in new tab· Guide · Babulal Tamang
Ansible in depth
Agentless automation: inventory, ad-hoc and playbook commands, roles, vault, AWX, and how Ansible complements Terraform.
Open in new tab· Guide · Babulal Tamang
GitHub CI/CD in depth
GitHub Actions from first workflow to production: runners, OIDC, environments, reusable pipelines, security, and GitOps handoff.
Open in new tab· Guide · Babulal Tamang
Jenkins CI/CD in depth
Controller and agents, declarative Jenkinsfiles, multibranch, shared libraries, credentials, K8s agents, security, and production hardening.
Open in new tab· Course notes · Babulal Tamang
Git & GitHub in depth
Object model, branching, hidden commands (reflog, bisect, worktree), GitHub PRs, Actions, and recovery workflows.
Open in new tab· Guide · Babulal Tamang
GitLab CI/CD in depth
Pipelines, runners, .gitlab-ci.yml, rules and variables, artifacts, environments, security scanning, and deploy patterns.
Open in new tab· Guide · Babulal Tamang
Bitbucket Pipelines CI/CD
YAML pipelines, runners, caches, deployments, OIDC to cloud, security, and how Pipelines compares to GitHub Actions and GitLab CI.
Open in new tab· Guide · Babulal Tamang
GitOps best principles
OpenGitOps baseline, pull vs push, seven production habits, CI/GitOps boundary, and a readiness checklist.
Open in new tab· Essay · Babulal Tamang
DevOps life & business value
Day-to-day platform work tied to speed, reliability, efficiency, and risk—the outcomes leaders fund.
Open in new tab· Essay · Babulal Tamang
Nature of the DevOps professional
Mindset, habits, and traits that build trust—systems thinking, ownership, communication, and disciplined change.
Open in new tab· Essay · Babulal Tamang
DevOps psychology after hours
Why production stays in your head when the office closes—and how to react under pressure without burning out.
Open in new tab· Guide · Babulal Tamang
Incidents & disaster response
Severity, incident command, DR/BCP, and habits that turn panic into procedure—how to stay calm when production breaks.
Open in new tab· Essay · Babulal Tamang
Cloud platform evolution
Why cloud matters, how it is used, migration paths, and what comes after the shift—AI, FinOps, and platform engineering.
Open in new tab· Guide · 1/2 · Babulal Tamang
AWS, GCP, Azure — depth comparison
Philosophy, enterprise fit, pricing culture, hybrid strategy, talent, and when each hyperscaler tends to win.
Open in new tab· Guide · 2/2 · Babulal Tamang
AWS, GCP, Azure — service mapping
Compute, networking, storage, databases, identity, observability, security, AI/ML, and integration—service by service.
Open in new tabSustainability & responsible technology (series 1–2, 5)
Five-part series for a general audience: why conservation matters, how digital life uses real resources, and how teams align cost with care for the planet. Start with Part 1.
· Series · 1/5 · Babulal Tamang
The invisible bill
How phones, apps, and cloud connect to energy, water, and materials—and why everyone should notice.
Open in new tab· Series · 2/5 · Babulal Tamang
Why conservation matters
Plain definitions of conservation and sustainability, and why they are needed now—not only in nature, but in tech.
Open in new tab· Series · 5/5 · Babulal Tamang
FinOps + GreenOps (architect view)
Series finale from a cloud architect: landing zones, ARB questions, Well-Architected patterns, and trade-offs on both ledgers.
Open in new tabFinOps
Cloud financial operations in everyday language—visibility, optimization, and shared ownership of spend. Part 3 of the sustainability series.
· FinOps · 3/5 · Babulal Tamang
Stop guessing what the cloud costs
Why cloud bills confuse teams, the Inform–Optimize–Operate loop, and habits that make spending deliberate.
Open in new tabGreenOps
Green operations for running software with a lighter environmental footprint—measure, reduce waste, cleaner power, honest reporting. Part 4 of the series.
· GreenOps · 4/5 · Babulal Tamang
Running technology with a lighter footprint
Sustainable IT operations: efficiency, region choice, software design, hardware life, and avoiding greenwashing.
Open in new tabAI/ML
· Guide · Babulal Tamang
Supervised, unsupervised, and RL
The three core ML paradigms—labels, structure without labels, and learning from reward—with examples and when to use each.
Open in new tab· Guide · Babulal Tamang
Neural networks in depth
Perceptrons to deep learning: forward/backward pass, activations, loss, optimizers, architectures, and when neural nets beat classical ML.
Open in new tab· Guide · Babulal Tamang
Generative AI in depth
GANs, diffusion, LLMs, multimodal stacks, training lifecycle, production architecture, risks, and responsible deployment.
Open in new tab· Guide · Babulal Tamang
LLMs in depth
Tokens, generation, KV cache, decoding, RAG, evals, security, and production inference for large language models.
Open in new tab· Guide · Babulal Tamang
RAG in depth
Chunking, embeddings, hybrid search, reranking, evals, production architecture, and advanced RAG patterns.
Open in new tab· Guide · Babulal Tamang
AI foundation models in depth
Transformers, pre-training, alignment, RAG, fine-tuning, inference cost, production architecture, and limits.
Open in new tab· Reference · Babulal Tamang
AI and ML terminology
Practical glossary: AI vs ML vs Gen AI, training vs inference, RAG vs fine-tuning, evals, MLOps, and governance.
Open in new tab· Essay · Babulal Tamang
Historical paradigms of AI
From symbolic AI and expert systems through deep learning and foundation models—who shaped each era and where we stand now.
Open in new tabISO & OPSWAT
· Lead Auditor · Babulal Tamang
ISO/IEC 27001 — Information security
ISMS audits: evidence, scope, and how security connects to the whole organization.
Open in new tab· Lead Auditor · Babulal Tamang
ISO/IEC 42001 — AI management
AIMS audits: governing AI systems with risk, roles, and continual improvement.
Open in new tab· Guide · Babulal Tamang
ISO/IEC 42001 AI audit in depth
AIMS audits explained: evidence, Annex A themes, lifecycle sampling, NC patterns, and engineer prep checklist.
Open in new tab· OPSWAT · Babulal Tamang
Critical infrastructure (ICIP)
CIP concepts, OPSWAT Academy navigation, secure operations context.
Open in new tabHub · Credly · Babulal Tamang
Credly credentials — overview & verification table
How Credly works, links to every topic post above, and a single table with official assertion links for all badges.
Open in new tabWhat I Use
Full production stack — hero tags, day-to-day tools, and platform engineering practice.
Contact
Contact Information