Performance · Engineered
Software Engineer · AI Agent Builder · Electronic Music Lover · Athlete
Engineer by discipline. Builder by obsession. I work on AI-powered systems—agents that reason, adapt, and scale. Hybrid athlete across tennis, golf, soccer, lifting, and running. Music lover. Firm believer that the best products—like the best sets—are engineered to make you feel something.
I'm a software engineer obsessed with building things that feel effortless to use but are surgically precise underneath. My work spans full-stack development—React, Next.js, TypeScript— and an increasingly deep focus on AI agents and agentic workflows. I think about AI not as a feature to bolt on but as a new substrate for building software altogether.
My engineering philosophy borrows from systems thinking: every component has a purpose, every interface a contract. I built HybridFit as a full-stack training tracker with NextAuth, Zod validation, and Vercel-optimised performance, and redesigned ESMON with a cohesive JavaFX design system that replaced visual chaos with hierarchy and intent. Both projects share a conviction: great software is inevitable once the mental model is right.
Outside the terminal I'm a hybrid athlete—half-marathon training, tennis, golf, soccer, lifting. I treat runs the same way I treat hard engineering problems: show up, stay systematic, trust the process. I also spend a worrying amount of time on logic puzzles and electronic music. These aren't hobbies; they're how I stay sharp.
Jun 2024 — Present
Full Stack Engineer II
Built production APIs in Java Spring Boot for bulk CSV ingestion, letting 25 European countries pipe data into core logistics systems without manual entry.
Introduced a Redis caching layer that eliminated static delays and unblocked faster frontend interactions across the network.
Currently exploring how IDE AI agents can accelerate the development lifecycle — from documentation to code quality — at enterprise scale.
Lifting weights. Squats, deadlifts, bench press, overhead press, etc.
Pattern recognition, constraint solving, systematic play.
Agents that reason, plan, and act—not just generate.
Clarity as a proxy for competence. Signal over noise.
Every system is a network of components.
Each project is a system—designed from first principles, built with precision, and shipped with care about every detail that the user will never notice.
Indian Railway Analytics Desktop App
Analytics desktop app for Indian Railways that turns raw binary journey data into filterable reports, time-series charts, and multi-section PDF exports. The hard parts: parsing undocumented binary formats, keeping filter state consistent across tabs without coupling the controllers, and rendering charts offscreen to prevent JavaFX deadlocks during PDF generation.
Full-Stack Fitness Platform for Hybrid Athletes
Training platform for hybrid athletes who don't fit neatly into one sport. The design challenge was making a complex system—multi-plan enrollment, flexible scheduling, granular workout logging—feel simple to use daily. Performance was non-negotiable: response caching and DB projections cut query load by over 99%. AI coaching recommendations are next.
Next Build — Looking for the Right Problem
I'm deep in the agentic AI space and actively exploring what to build next. The space is moving fast and I want to work on something with real leverage—agents that reason, take action, and compound value over time. If you're working on something in this space and want to collaborate, I'd love to talk.