What I Work With

Expertise

The stack I use to build, scale, and secure SaaS platforms - from backend services and event-driven workers through to cloud infrastructure, release engineering, and production monitoring. Each expertise area has a dedicated topic hub with curated production writing.

Platform Engineering

Platform engineering expertise from Hemal Buha: internal developer platforms, CI/CD, developer experience, and production automation for SaaS teams.

Open hub

Kubernetes

Kubernetes platform patterns: crash loop debugging, autoscaling, GitOps with Argo CD, policy-as-code, service mesh decisions, and zero-downtime deployments.

Open hub

AWS

AWS platform patterns by Hemal Buha: highly available API design, secrets management, CDN modernization, SQS workers, and reliable AI API infrastructure on AWS.

Open hub

System Design

Distributed systems and SaaS architecture: multi-tenant isolation, database replica lag, event backbones with Redis Streams vs SQS, webhooks, and API reliability.

Open hub

Observability and SRE

Observability and SRE practices: logs vs metrics vs traces, slow API debugging, Slack alerting at scale, chaos engineering, and LLM application monitoring.

Open hub

AI Infrastructure

AI infrastructure and agent platforms: LLM gateways, reliable AI APIs, agent failure modes, prompt injection defenses, coding agents in CI, and LLM observability.

Open hub

Primary expertise

Production-proven stack for platform and backend roles - backed by case studies and experience bullets on this site.

Platform & Backend

  • Multi-tenant SaaS
  • REST APIs & webhooks
  • Redis Streams workers
  • Event-driven architecture
  • Release engineering

AWS Production

  • EC2 warm pools & ALB
  • Lambda control plane
  • CloudFront & S3
  • RDS / MySQL
  • SQS · SES · CloudWatch

Languages & Runtime

  • TypeScript / Node.js
  • Go workers
  • Python (tooling)
  • SQL

Supporting skills

Kubernetes hub writing, PHP legacy, AI side projects, and security/compliance work - depth varies; see projects and blog for evidence.

01

Languages

  • TypeScript
  • JavaScript/Node.js
  • Go
  • Python
  • PHP
  • SQL
  • Bash
02

Backend

  • REST APIs
  • Microservices
  • Webhooks
  • SDK development
  • Authentication and authorization
  • SSO
03

Cloud

  • AWS EC2
  • Lambda
  • S3
  • CloudFront
  • RDS
  • SES
  • SQS
  • IAM
  • CloudWatch
  • VPC
04

DevOps

  • CI/CD
  • Jenkins
  • GitHub Actions
  • Docker
  • Release engineering
  • Deployment automation
05

Infrastructure

  • CloudFormation
  • Linux
  • Autoscaling
  • Zero-downtime deployments
  • Disaster recovery
  • Cloud cost optimization
06

Databases

  • MySQL
  • MariaDB
  • MongoDB
  • Redis
  • Amazon RDS
  • Caching
  • Database performance tuning
07

Distributed Systems

  • Redis Streams
  • Asynchronous workers
  • Queues
  • Event-driven architecture
  • WebSockets
  • Distributed messaging
08

Security

  • OWASP
  • JWT
  • OAuth
  • Secure webhooks
  • VAPT remediation
  • GDPR
  • ISO 27001
  • Input validation
  • Access control
09

AI

  • AI-assisted automation
  • Semantic search
  • Embeddings
  • Vector search
  • AI assistants
10

Architecture and Monitoring

  • Multi-tenant SaaS
  • White-label SaaS
  • High availability
  • CloudWatch
  • Centralized alerting
  • Incident response
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