I am a hands-on CTO and full-stack architect based in San Francisco. I build alongside the team, not only above it.
If you think I may be helpful in a specific way, get in touch by email or LinkedIn.
Built the hybrid multi-agent platform from the ground up on GCP Vertex AI, Ray on GKE, and Temporal. Connected partner systems via MCP servers. Designed the core RAG pipeline (hybrid retrieval + cross-encoder reranking) and full LLM evals / observability. Shipped a human-in-the-loop mobile + voice product that is SOC2 / HIPAA / NIST AI RMF compliant.
Outcome: zero → millions of DAU with thousands of concurrent users.
Inherited a 150-person team and built an AI-native engineering organization across the US, Taiwan, UAE, and India. Formed an Architecture Council, drove SOC2 / HIPAA / GDPR / CCPA as a sales enabler, and rolled out AI pair-programming (Copilot, Cursor, multi-model agents) that tripled velocity and cleared years of tech debt.
Outcome: 150 → 400+ engineers · $20M → $120M+ ARR · 100+ releases/year · products used by Tesla, NFL teams, government & telco accounts.
Took the company from idea to production native iOS and Android apps on a Firebase serverless stack, with Checkr / Veriff / Coinbase / PayPal for trust infrastructure and a TensorFlow pipeline on Vertex AI.
Led global engineering for a sensor-fusion indoor/outdoor location engine that requires no special network hardware or device modification — deployed by AT&T, Verizon, T-Mobile / Deutsche Telekom, Swisscom, Vodafone, and Orange. Improved a key customer’s NPS from −90 to +90 and helped secure a $70M contract. Stood up a delivery center in Slovakia that cut global ops cost 40%.
Owned P&L for a $50M+ ARR platform serving JPMorgan Chase, Bank of America, Wells Fargo, and Citibank. Re-architected a multi-petabyte Oracle system for 10,000+ concurrent users with sub-second SLAs. Invented a parallel processing algorithm that saved JPMorgan Chase $300M+ per year.
Outcome: $150B+ loans processed per year · NPS −50 → +90 · ~20% annual revenue growth.
Led engineering across 16 data centers and delivered $100M+ in cloud transformation projects. Reduced Granite Construction’s TCO by 70% ($16M migration, 1,000+ servers → ~100 VPS) and improved BAE Systems’ ROI 3×.
Built a 50+ person architecture practice from zero, serving 200+ enterprise customers (Cisco, Walmart, Salesforce, Genentech, HP, Intuit, and many others) at ~99% CSAT. Raised utilization from 70% → 90%+ and profitability from 20% → 40%+.
AI / agents: Temporal, LangGraph, MCP servers, Ray, FastAPI, Cursor, Claude, Copilot, Langfuse, hybrid RAG + reranking
Models: Anthropic Claude, OpenAI GPT, Google Gemini, AWS Nova, Mistral
Languages & data: Python, Go, TypeScript, Java, Rust · Postgres + pgvector, TimescaleDB, Oracle, Redis, Snowflake, Databricks
Cloud & ops: GCP (Vertex, GKE), AWS, Azure · Kubernetes, Terraform, Prometheus / Grafana / Loki, GitHub Actions
Especially interested in AI platforms that have to work in the real world — regulated domains, high scale, or both.
roy.barman@gmail.com
linkedin.com/in/abhijitroybarman
+1 (415) 786-6637