Senior Software Engineer • Full-Stack Developer • Data Analyst
Experienced Full-Stack Software Developer and Data Analyst with over six years of expertise in web application development. Proficient in Python, with extensive experience in frameworks such as Flask and Django, as well as REST API development, data mining, and machine learning.
Predict. Offset. Net Zero. — Connecting industries to NGOs for transparent carbon neutrality.
Machine learning models analyse production data, energy usage, and materials to accurately predict CO₂ emissions and calculate the exact number of trees required for offset.
AI-driven trend analysis forecasts cumulative CO₂ offset over 5 years, projecting the estimated year each industry will reach carbon neutrality.
An intelligent chatbot guides planters with tree growth advice, species recommendations, and soil suitability — helping NGOs make data-driven planting decisions.
Every planted tree is geo-tagged with coordinates and photographic evidence. Admin verification ensures full traceability on an interactive map and 3D globe.
Industries submit emissions data and fund offsets; NGOs receive planting tasks, assign planters, and verify progress — creating a transparent, end-to-end carbon credit lifecycle.
A public-facing dashboard with real-time metrics on emissions offset, trees planted, and net-zero progress. Full visibility for stakeholders and the public.
A sleek digital card platform that lets users create a shareable profile with photo, links, and contact info in minutes. Features QR code generation, wallet-ready cards for events and networking, and a link-in-bio solution for creators and businesses.
Decentralized lottery gaming DApp on Ethereum. Users select up to 18 numbers (0–36) and place ETH bets through MetaMask. Smart contract handles random draws, automatic payout calculation (up to 36x returns), and a liquidity-managed waiting list for deferred payouts.
Web application monitoring 1,000 solar panels in real-time. Implemented an alert system reducing offline data downtime by 85% through proactive fault detection. Optimized API integrations, decreasing system latency by 40% and enhancing data processing speed.
Full-stack food ordering app using Python and Django, boosting order efficiency by 35%. Built client-side features (home, cart, order tracking) increasing user engagement by 40%. Admin dashboard improving management efficiency by 30%. Led a dedicated team to 100% on-time delivery.
Demo credentials — username: 1234 & password: 1234
Advanced e-commerce platform with multi-vendor support for clothing, grocery, food, and more. Features online payment integration, shareable payment links, real-time order tracking, and a comprehensive admin dashboard for managing multiple storefronts.
Published research on automated malware classification using deep neural networks, proposing an automated approach for PE32 threat classification through import table analysis.
View PublicationQualified as an Associate Fellow of the Higher Education Academy. Completed Practical Teaching in HE Course.
Imperial College London • Won 1,500 USDC for ECOTRON, a sustainability-focused AI agent project.
Won 500 USDC for Luffa Bot AI, a blockchain-integrated intelligent assistant.