I build platforms by day, analyse markets by night, and occasionally write code that surprises me. This is my corner of the internet.
I lead platform engineering teams at a global financial institution — but the work I find most alive happens outside the org chart. Building tools that solve real problems, understanding how markets move, and learning fast in public.
The F&O dashboard started as a way to understand options data better. The AI agent project is how I stay sharp on where technology is headed. Neither was planned — both taught me more than any course.
Outside work, I'm a husband, a father to a curious toddler, and someone who thinks the best ideas come from doing, not just reading about doing.
Real-time NSE BhavCopy analysis — OI distribution, PCR trends, institutional money flow and an embedded Claude AI analyst. Built from zero database experience. Shared with a group of trader friends who use it daily.
Open dashboard →An Agentic AI that queries live options data, reasons about market structure and delivers a morning briefing. A proper LLM with tools — not just a chatbot. This is how I'm learning what Agentic AI actually means in practice.
In progressCombines Order Blocks, BOS, CHoCH, Liquidity Sweeps and Fair Value Gaps across 4H trend and 15M entry timeframes. Built to trade smarter, not louder — using Smart Money Concepts to identify institutional footprints.
TradingView private scriptMy wife and I like to play Ludo over breakfast. Every app we tried was buried in ads. So I built one — no ads, no accounts, just the game. Sometimes the best reason to build something is the simplest one.
Play →Lead India's Platform Engineering and Infrastructure Reliability function, owning end-to-end IT Operations, Site Reliability Engineering (SRE), and large-scale automation programs across Mumbai and Bangalore. Accountable for on-premises and hosted Datacentre operations, Network, Servers, and Storage, alongside Production Management and End User Computing for thousands of users. Drive Global Platform Engineering initiatives encompassing Azure cloud deployments, DevOps pipelines, Infrastructure as Code (IaC), Messaging platforms, Kafka, SSL, and Webservices. Spearheading the adoption of intelligent automation and exploring how Generative AI and Agentic AI can augment platform operations.
Established and matured the Chennai site, then relocated to Mumbai to build the operation from the ground up — scaling it to a seat capacity of 3,800 and a live user base of approximately 4,500 spanning Front, Middle, and Back Office Operations. Delivered mission-critical technology support for Front Office trading, Sales, and Corporate Banking teams.
Played a pivotal role in one of Barclays' most ambitious India expansion programmes — orchestrating the seamless transition of over 3,500 roles from the UK, US, and Middle East into the newly established Chennai Technology Centre.
Modern infrastructure teams are leveraging Gen AI to automate runbook generation, accelerate incident triage, and synthesize monitoring signals — reducing MTTR and freeing engineers for higher-order work.
Agentic AI systems autonomously execute multi-step IT workflows — from auto-remediation in SRE pipelines to intelligent provisioning of cloud resources — enabling truly self-healing infrastructure at scale.
Combining IaC principles with AI-driven code generation accelerates deployment velocity, reduces configuration drift, and enables policy-as-code enforcement across hybrid cloud environments.
AIOps platforms use ML to correlate alerts, predict failures before they surface, and intelligently route escalations — aligning well with the SRE model and platform engineering disciplines.