I build at the intersection of product judgment and market structure.
Fifteen years building products where the cost of being wrong is measured in regulatory fines and client withdrawals.
Investment banking. Hedge fund technology. Institutional crypto. DeFi. AI. Products from 0 to 1, platforms from concept to scale.
The pattern across all of it is market structure plus product craft: execution, liquidity, reconciliation, regulation, latency, incentives, and failure modes.
I write, trade, and build public products because staying close to live systems keeps the thinking honest.
First product hire · 0 → 1 across three flagship products in 6 months
Led 0 → 1 development across three flagship products: an AI trading copilot for perpetual DEXes and prediction markets, a perpetual DEX with synthetic RWAs, and AI-powered tokenized fund products. Designed liquidation engines, dynamic margin systems, funding-rate mechanisms, and oracle price feeds with multi-source redundancy.
Built and scaled the institutional electronic trading platform
Built and scaled the institutional electronic trading platform aggregating liquidity from 15+ global LPs. Launched the FX trading desk enabling crypto to fiat trading in 25+ currencies with real-time settlement. Drove predictive inventory management and treasury automation.
Cloud-native PMS / accounting for hedge funds with $1B+ AUM each
Led product for a cloud native portfolio management and accounting platform serving global hedge funds with over $1B AUM each. Multi-asset, multi-currency, complex fund structures. Owned roadmap and release execution across a 30+ engineer team.
Global compliance platform for client money segregation
Led product for a global compliance platform managing client money segregation across multi-jurisdictional regulatory regimes. Delivered a Brexit-compliant version on a six-month accelerated timeline. Built predictive risk analytics to forecast segregation requirements across EU, APAC, and Americas.
Built product management function from scratch
Built product management function from scratch. Launched three products covering financial modeling, data analysis, and earnings management. Scaled team and delivered 50+ client demos.
Front-to-back F&O across seven exchanges
Implemented derivatives products across seven APAC exchanges (NSE, SGX, HKEX, ASX, KRX, TSE, NZX). Managed front-to-back-office operations for F&O markets including trading, clearing, settlement, regulatory reporting, and exchange reconciliation.
Earlier: Software engineering and product consulting roles at a US telecom, an e-commerce marketplace, and a product consultancy.
Personal projects I build in public alongside my product work. These are working products used to explore AI trading workflows, execution infrastructure, Web3 commerce, and the product gaps I write about.
AI trading strategy builder with webhook-driven execution and a real risk engine.
Describe a trading strategy in plain English. PineStrat generates Pine Script v6 code, receives webhook alerts when the strategy fires, applies a configurable risk engine, and executes paper trades on Binance Testnet with a real-time dashboard.
A Web2.5 commerce architecture. Blockchain escrow, event-driven webhooks, Web2 UX.
Ethereum smart contracts hold funds in escrow, a custom subgraph indexes blockchain events, and a Postgres database stores rich metadata. The thesis: crypto commerce is stuck because teams try to put everything on chain. The right answer is hybrid.
A weekly meal-planning loop for households: plan, shop, track, learn.
MealLoop helps small households plan a week of meals, generate an editable grocery list, check in what actually happened, and reuse corrections. The build also became a live experiment in agentic product development: PRD, architecture, CI, docs, user manual, and deployment all created around the MVP.
The areas I work in, write about, and build around. This list is intentionally focused on the intersection I want to own publicly: financial markets, product systems, trading infrastructure, DeFi, and AI.
A growing archive of articles and LinkedIn essays. I write about financial technology from a builder and operator perspective: what breaks in production, what institutions care about, and where AI and Web3 are actually useful.
Part 3 of the Indian Broker Playbook series on SEBI’s retail algo framework, why systematic retail trading is becoming a formal product category, and what broker platforms now need to build.
Part 2 of the Indian Broker Playbook series mapping the next credible wedge for Zerodha, Groww, Angel One, Dhan, Sensibull, Share.Market, Sahi, Fyers, Motilal Oswal, and Nuvama.
A structural view of India’s brokerage reset: why transaction-led revenue is losing power, where recurring revenue is emerging, and why the next winning platforms will sell outcomes, tools, and trust.
A practical roadmap for PMs who want to prove real AI product judgment through hands-on projects covering prompts, context, RAG, model tradeoffs, evals, guardrails, and production behavior.
A look at why crypto-to-fiat treasury products keep stalling out at the conversion step, and what the next generation needs to get right.
A breakdown of how OTC desks set spreads on crypto-to-fiat trades, drawing on the desk I built at a crypto prime broker.