25 years building software. Started with Java, Then ML, NLP and digital forensics for eDiscovery, Dart/Flutter, NodeJS, AWS, Cloud Infra, Payments, Security & Compliances, AI & LLMs for Self Ordering tech. Still write production code most days.
Current side project - OctoWhiz - a learning app for grade students, now on the App Store and Play Store. Looking to add a Hall of Shame of other side projects that never got published
Gareebon ka Bryan Johnson. I like to try all the fitness and wellness fads and see what helps. A late starter to fitness and wellness but did manage to get down from 28% body fat to 14%. Also can deadlift ~ 110 Kg.
Self-ordering for hospitality — Kiosks, QR-code mobile ordering, Virtual Cashier - Talk To Order, Linebusting POS, KDS, ODB. Direct integrations with major POS & Payment gateways worldwide. 100+ Brands, 10+ Countries
Non-executive seat on the board of Servient's India dev center.
Set up and ran Servient's India dev center — a 60-person team building the eDiscovery platform: document ingestion, ML-driven relevance identification, lawyer review workflows, production.
How to build a debugging agent your whole team can rely on, on every shift: it answers from curated error patterns first, falls back to your docs and read-only source, and keeps the troubleshooting docs current on its own.
An overview of the routine operational work we handed to AI agents at XPR, safeguards added and lessons learned