Eleven years turning automation, AI/ML and process excellence into measurable business outcomes — 47 enterprise programs, five SaaS products, multi-crore impact. Lately, I design and ship AI products with my own hands.
Not managed — built. Each one is live or open-source, on the same modern AI stack.
Trust what AI does with your numbers.
Paste AI-assisted finance work — a formula, a cleaned dataset, a board-deck number — and it grades the output against seven trust dimensions, flags exactly what's wrong, then sharpens your judgment with a mock review and daily drills.
Ask the AI labs anything.
Retrieval-augmented search over 18 frontier AI-lab blogs: ask once, get an answer across the latest posts with every claim linked to its source. A daily cron scrapes, summarizes and pushes digests to email and Telegram — fully automated.
Live demo runs on a free tier — first load can take ~30s to wake.
$ python app.py Ask a question about your articles. > what does the paper say about retrieval? ↳ embed → retrieve top-4 → Claude Haiku 4.5 Answered from context, with a fallback to "I don't know" when it isn't in the docs.
Answer questions grounded in your own documents.
My first RAG build — made to understand the whole pipeline, not lean on a black box. A terminal Q&A tool that loads your .txt/.pdf files, retrieves the most relevant chunks, and answers only from that context. The retrieval core is unit-tested independently of the model.
I lead enterprise-wide delivery across IT/ITES, shared services and smart-factory transformation for the group — owning GCC strategy, SLA/KPI governance, budgets, vendors and cross-functional teams from idea to production. Forty-seven programs; five shipped as SaaS products; ₹13+ Cr of measurable impact.
Also delivered a full RPA suite (invoice, GR/IR, vendor-clearing, TDS), Power BI finance & sales dashboards, partner / expense / compliance portals, and HRMS, WhatsApp and ERP/Teams chatbots — 47+ programs in total. Full list on the résumé
Find where automation, AI/ML or process change creates real value — then build the business case and win stakeholder buy-in before anything starts.
Scope for outcomes: define the target, the SLAs and KPIs it must move, and the delivery plan — aligning budget, vendors and teams up front.
Execute with rigor. Run cross-functional teams through Agile delivery and Lean Six Sigma discipline, from prototype to production.
Prove the impact. Stand up SLA/KPI governance, track hard and soft benefits, and drive continuous improvement after go-live.
Digital transformation · GCC strategy & operations · Program & delivery management · Lean Six Sigma · Agile · Stakeholder & vendor management · SLA / KPI governance
Next.js / TypeScript · Python · Supabase · LangChain · RAG (Voyage + Chroma) · Claude / Anthropic API · FastAPI · RPA · Power BI