Harsh Makwana hmake98

👋 Hi, I'm Harsh

Backend & Infrastructure Engineer • AI Engineering • Cloud-Native Systems • Microservices

Building production-grade systems that scale, recover, and automate themselves.

👨‍💻 About Me

const harsh = {
  experience: "6+ years",
  focus: [
    "Backend Architecture",
    "Microservices & Event-Driven Systems",
    "Cloud Infrastructure (AWS)",
    "AI Engineering & Agentic Workflows"
  ],
  currentlyLearning: [
    "LangChain & LangGraph",
    "RAG (Retrieval-Augmented Generation)",
    "Langfuse (LLM observability & evals)",
    "Claude Code-based engineering"
  ],
  currentlyWorkingOn: [
    "Building my own products with Claude Code",
    "gRPC & Temporal-based systems",
    "Production-ready NestJS tooling"
  ],
  strengths: [
    "System design",
    "Failure recovery",
    "Performance optimization",
    "Cost-efficient cloud architecture"
  ],
  contact: "harsh.make1998@gmail.com"
};

I specialize in designing, building, and operating complex backend systems, from microservices and permission platforms to GPU-backed real-time streaming infrastructure. Right now I'm extending that foundation into AI engineering: building LLM-powered applications and turning my own product ideas into working software with Claude Code.

I care deeply about:

Reliability over hype
Clean abstractions
Automation over manual ops
Observability and recovery by design
AI-augmented programming for speed, accuracy, and scale

I am fully adept at AI-augmented development workflows, leveraging modern AI tools to:

Accelerate system design and implementation
Validate architectural decisions
Refactor complex codebases safely
Explore multiple solution paths efficiently

AI is treated as a force multiplier, not a replacement, enabling higher-quality engineering with faster iteration cycles.

🧠 What I Build

High-availability backend systems
Event-driven & message-based architectures
On-demand cloud infrastructure (auto-provision & teardown)
Real-time audio/video streaming pipelines
Developer tooling & internal frameworks
AI-powered products and LLM workflows (RAG, agents, observability)

🔥 Core Tech Stack

Backend & APIs

Node.js, NestJS, Express
GraphQL, gRPC
Prisma ORM
Temporal

Databases & Messaging

PostgreSQL, MongoDB
Redis
RabbitMQ

Cloud, DevOps & Streaming

AWS
Docker, Kubernetes
GitHub Actions
FFmpeg, WebRTC

🔗 Connect

LinkedIn: https://linkedin.com/in/hmake98
Instagram: https://instagram.com/hmake98
Discord: https://discord.com/users/hmake98
Email: harsh.make1998@gmail.com

Thanks for stopping by

Building reliable backend systems and learning to build with AI.

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