MERN & Next.js developer who takes features from first commit to live deployment — and folds ML and LLM intelligence into the product where it earns its place.
I'm a software engineer who's happiest with a foot on both sides of the stack — designing responsive React and Next.js frontends, then wiring them to RESTful APIs, auth, and databases that hold up in production.
At Bitsframe I own features from development through to a live deployment: building the UI, managing data models on Supabase and Firebase, configuring servers on AWS, and shipping on Railway with the build pipelines to match. When something breaks in production, tracking it down and keeping releases stable is part of the job I actually enjoy.
My favourite work sits where clean architecture meets applied intelligence. On my final-year project I led the machine-learning and LLM components of a platform that helps data centres cut energy use — proof that the interesting problems usually live between the model and the interface.
Led the ML and LLM layer of a full-stack platform that recommends the most efficient cooling strategy for data centres. Built a Random Forest engine that predicts the optimal technique from simulation data with explainable, context-aware justifications, plus an LLM advisory assistant (multi-provider fallback, grounded prompts) that turns raw metrics into plain-language insight. Surfaced PUE, carbon, cost and water KPIs through a React dashboard.
A full-stack notes application on the MERN stack with JWT authentication, RESTful APIs and a rich text editor. Built with production discipline: structured logging with Pino, SonarQube code-quality analysis, unit testing with Jest and Mocha/Chai, and a clean, modular architecture inside a Git-based workflow.
A full-stack employee-management system with role-based access, task workflows, a calendar dashboard and a secure admin panel — built on Next.js and MySQL with JWT auth and real-time REST updates throughout.
A wellness product built on Next.js with Firebase Auth and Spline 3D, featuring interactive meal and exercise planners inside a responsive, animated UI guided by HCI principles — where the interface itself does part of the work.
Working across the full stack day to day — responsive React and Next.js frontends, RESTful APIs, and auth and data on Supabase and Firebase. Own deployment end to end: AWS server config, Railway releases, build pipelines, and keeping production stable inside a Git-based team.
Built a full-stack Notes App (React, Node, MongoDB) with secure auth, CRUD and a rich text editor — adding Pino logging, exception-handling middleware and unit testing with Mocha/Chai and Jest.
Developed and integrated RESTful APIs linking frontend to backend, and optimized MongoDB schemas — data modeling, insertion and modification — to support new features.
Analyzed Facebook ad-campaign data for GlobalShala's Superhero U project and built visualizations to optimize ad spend, sharpening data-storytelling and analytics.
Backed by a strong academic record: 100% scholarship for AS and A2 Levels, A-Levels with 2 A's, and O-Levels with 2 A*'s and 5 A's.
Open to full-stack roles and interesting problems where the model, the API and the interface all matter.