Final year CS student. Part-time AI Engineer.
Building production systems that serve 1000+ users daily.

I don't write code to pad my resume. I write it because someone's business depends on it working at 3 AM.

Safe Agent Sandbox Runtime → aum.sitrai.com
Autonomous AI agents executing code safely. 1000+ daily runs, 99.9% uptime. Multi-provider LLM fallback (OpenAI → Claude → Ollama). Cut costs by $400/month, reduced failures 60%.

Groq Coder → groq-coder.vercel.app
Production AI code generation with real-time streaming and multi-stage validation. Built it. Deployed it. Users love it.

AutoPR-AI → github.com/ixchio/autopr-ai
Autonomous code description pipeline with evaluation microservice comparing Llama/Mistral/GPT performance.

Open Source

• OpenHands: 4 merged PRs, built eval harness (35% cost reduction, 3x throughput)
• LangChain: PR #31327, multi-agent orchestration improvements

AI/ML: Agent systems, LLM orchestration (GPT/Claude/Llama), prompt engineering, evaluation pipelines, production LLM ops
Backend: Python (expert), FastAPI, Node.js, PostgreSQL, Redis, Celery
Infrastructure: Docker, Kubernetes/EKS, AWS (EC2, S3), CI/CD
Monitoring: Prometheus, Grafana, Weights & Biases

Zero Kubernetes knowledge → production EKS deployment in one week. That's how I work.

Most students build side projects. I build systems that handle real traffic, real money, real consequences.

• Deployed production code while 30 other developers watched me debug their "impossible" issue
• Contributed to OpenHands and LangChain while they weren't hiring interns
• Run 1000+ autonomous agent executions daily without waking up to fire alarms
• Know the difference between "demo works" and "production ready"

I've debugged race conditions at 2 AM, optimized LLM costs while maintaining quality, and built monitoring dashboards before things broke.

Not because a bootcamp told me to. Because production systems don't care about your feelings.

Graduating May 2026. Available immediately after.

Target: Founding engineer / AI engineer roles where I'm building 0→1, not maintaining legacy code.

What I bring:

• Production AI systems experience, not just tutorials
• Startup velocity - ship fast, iterate faster, own outcomes
• End-to-end ownership - from architecture to monitoring
• Open source contributor mindset
• Comfortable with ambiguity and unclear specs

What I need:

• High ownership, low bureaucracy
• Team that values shipping over meetings
• Problems that matter

Current CTC: ₹11 LPA | Expected: ₹18-25 LPA | Open to remote + relocation

If you're solving hard problems and need someone who ships, not someone who talks about shipping:

Most students write projects. I ship production systems.