About • Impact • Tech • Now • Connect
I’m an AI Builder with 5+ years across engineering, business, sales, community, content, and public speaking.
I build production-ready ML + GenAI/LLM systems that teams actually use — the kind that ship fast, stay reliable, and move business metrics.
My operating system
- Find the right use case (where ROI is real, not vibes)
- Design the system (data, evals, cost, latency, safety)
- Ship to production (monitoring, governance, iteration)
- Drive adoption (workflow fit, enablement, feedback loops)
Currently
- Senior Data Scientist @ 66degrees (Google Cloud Premier Partner)
- Building on Google Cloud (Vertex AI, BigQuery, Cloud Run), exploring RAG + Agents and MCP
| Area | What I’ve done | Proof / outcomes |
|---|---|---|
| Engineering | Owned the full AI lifecycle: discovery → architecture → governance → production | Rebuilt key workflows end-to-end; delivered up to 60% productivity gains |
| Business | Aligned AI work to ROI, adoption, and measurable impact across teams | Outcome-first delivery (metrics, rollout, enablement) |
| Sales | Built AI tools/accelerators used by GTM teams to drive revenue | Helped close $XX Million in deal value via AI accelerators |
| Public sector | Built an internal productivity platform for Government of Uttarakhand, India | Used by 5,000+ officers (incl. IAS/IPS) |
| Tourism | Partnered with Saudi Tourism Authority for AI-powered offline experiences | Reached 10,000+ people |
| Community + content | LinkedIn Top Voice in AI • Google Developer Expert (GDE) in AI | 40M+ views • Speaker 100+ sessions |
| Speaking | 100+ talks & workshops (MHA Govt. of India, IITs, NITs, IIITs) | Audience of 25,000+ |
| Core | Cloud & DevOps | MLOps / LLMOps | Data & apps |
|---|---|---|---|
| Python • C++ • Go • JavaScript | GCP (Vertex AI, BigQuery, Dataflow, Cloud Run, Pub/Sub) • AWS | Vertex AI Pipelines • MLflow • Kubeflow • LangChain • LlamaIndex • Vector DBs | SQL • Looker • Tableau • Power BI • Pandas • FastAPI • Streamlit |
- RAG + Agents patterns with the Model Context Protocol (MCP)
- Vertex AI + Cloud Run + BigQuery for production LLM pipelines
- Red-teaming + guardrails for secure LLMs
ML/GenAI in production, GCP architecture, evaluation (quality + cost), RAG/agents, MLOps, governance, and making AI usable for real teams.
Also: jokes, foosball, swimming, gym, and great playlists 🎧
If you want to scale AI adoption, automate high-impact workflows, or get measurable results with GenAI + ML — let’s connect.
If you’re looking for a speaker for a talk, workshop, or keynote — hit me up.