I work across the stack, from architecture through deployment and monitoring. The domains vary across ML pipelines, full-stack products, trading infrastructure, and automation, but the engineering discipline holds. Design for reliability, ship on schedule, and account for what happens after launch.
My core strength is systems architecture: deciding how components fit together, where load concentrates, and what has to stay standing under pressure. Whatever the language or framework, I start from the system and build toward scale.
//If you have a project that needs to be built to spec and shipped on time, let's talk.
Production systems, trading bots, and platforms shipping or in stealth. Code that holds up under load.
On-chain prediction market platform. In active development.
Twitter and LinkedIn post automation system. Drafts, schedules, and ships content across multiple accounts.
Full-stack athlete management application. Schedules, performance tracking, and roster tooling for coaches.
The site you're looking at. A stubborn refusal to pick one identity.
High-frequency trading bot for Solana. Detects token launches in milliseconds and races safety-checked trades to the next block.
Automated trading infrastructure for Hyperliquid perpetual markets.
Agentic intelligent document engine. Parses, extracts, and reasons over complex documents.
Internal knowledge platform with structured retrieval and reasoning.
AI-driven training simulator for healthcare professionals. In development.
Marketplace platform connecting communities with activity seekers. Mobile-first, India-focused.
Lessons learned from deploying machine learning models at scale, from data preprocessing to model serving.