About Me

I am a Full Stack Developer and AI Engineer based in Manchester, UK. I graduated with a BSc (Hons) in Computer Science from University Academy 92 (Lancaster University) and have since shipped 10+ projects across e-commerce, AI automation, content systems, and real-time applications.

My biggest project is Bhairav Aaradhyaa, a full-stack spiritual tech platform I built from scratch. It serves users in India and internationally with 65 divine forms, 45 Sanskrit stotras, a japa counter with streak gamification, and a life purpose questionnaire algorithm. The platform processes live payments through two gateways: Stripe for international users and Instamojo for Indian users, with MaxMind GeoIP routing users to the correct checkout automatically. I also built a Puppeteer-based pre-rendering pipeline that converts 192 React routes into static HTML so Google can actually index the content.

Alongside the platform, I built ContentForge, a content automation engine that generates 3,500+ social media assets from a single data source. It renders HTML templates into platform-specific images via Puppeteer for Instagram, Pinterest, Twitter/X, and Facebook. The system handles scheduling with rate limiting, cross-platform deduplication, and includes an AI-powered Instagram DM engine using Groq. Organic reach across the brand hit 700K+ monthly.

On the e-commerce side, I built UWEAR UK, a complete online store with a React storefront, Express backend, and a separate admin dashboard. The admin dashboard polls for new orders every 5 seconds with audio notifications, shows 30-day sales charts via Chart.js, and handles inventory tracking across 200+ products. I also built CyberShip, a carrier-agnostic shipping rate library using the Adapter pattern with UPS OAuth 2.0 integration, Zod validation, and 100% test coverage.

My AI work includes GeoThreadBot, a 7-stage Python pipeline that fetches news from Twitter, YouTube, and RSS feeds concurrently, detects 12+ languages, scores relevance with SpaCy and VADER, summarises articles using BART transformers, cross-verifies facts against credible sources, and publishes approved stories to Twitter/X. I refactored it from a 953-line prototype into 25 modules across 8 packages with 19 unit tests. I also built HELEC, a real-time AI customer support chat using SvelteKit, Fastify, Socket.IO, and Groq's LLM for response generation.

My stack covers the full picture: React 19, SvelteKit, and Next.js on the frontend. Express 5, Fastify 5, and Flask on the backend. PostgreSQL, MongoDB, and SQLite for data. Python with TensorFlow, SpaCy, and Hugging Face for AI/ML. Docker, Vercel, Render, and Hostinger for deployment. I pick what fits the problem rather than defaulting to the same tools every time.

I am currently looking for full-time opportunities in full stack development or AI engineering. I want to work on products where I can own features end to end and ship things that people actually use.