Building production AI systems that combine agentic workflows, realtime speech AI, retrieval & evaluation gates, full-stack product engineering, and developer tooling.
ai-ml-portfolio · Hindai · Gravity-SaaS-Agent · agent-console · sarvam-ai-cookbook · Stanford-CS336
| Metric | Source |
|---|---|
| VAD clean F1 0.9569 · p95 ~19 ms | ai-ml-portfolio README |
| CI green · Python 3.10–3.12 | CI workflow |
make verify-all |
Makefile |
| 4,000+ contributions | GitHub overview · snapshot |
| Stack claim | Source |
|---|---|
| NumPy · webrtcvad · BM25 · scikit-learn | ai-ml-portfolio/pyproject.toml |
| Next.js 15 · React 19 · Turbopack | agent-console/package.json |
| FastAPI · Sarvam SDK | sarvam-ai-cookbook/requirements.txt |
| Speech VAD lab | labs/vad |
| RAG / LLM eval lab | labs/llm-eval · DATA_CARD · RESULTS |
- Measure everything
- Local-first whenever possible
- Reliability over novelty
- AI should augment — not obscure — the system
- Developer experience matters
- Simple systems scale better
Details: INTERVIEW_NOTES.md
Contribution graph · yearly snapshot JSON



