I'm a Software Engineering student who enjoys turning real problems into useful software. My main interests are machine learning, applied AI, Python, intelligent automation, and full-stack development.
I like projects where software has to do more than simply work: it should be understandable, testable, and useful to someone.
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AI-assisted procurement intelligence An end-to-end platform for RFPs, RFQs, and tenders. It combines document extraction, RAG-based evidence retrieval, compliance analysis, grounded LLM generation, ML scoring, and human-confirmed GO / NO-GO decisions.
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Time-aware machine learning A freight-rate prediction project using chronological validation instead of random splitting. After comparing multiple approaches, the selected standardized Ridge model achieved a USD 141.29 mean MAE across the September and October holdouts.
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Automation with real-time alerts A Python + Playwright utility that monitors an authorized enrollment page, detects meaningful state changes, confirms openings, and sends phone alerts so the user does not have to keep refreshing manually.
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Algorithms + experimentation A comparative study of six sorting variants across different input distributions, including a proposed Adaptive Comb Sort hybrid combining gap reduction, bidirectional traversal, and early termination.
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Also working with scikit-learn · pandas · ChromaDB · Ollama · Playwright
| AI / ML Model selection Validation Feature engineering |
Generative AI RAG Grounded generation Local LLMs |
Software Engineering APIs Testing Architecture |
Connect Four AI · Tic-Tac-Toe AI · Pakistan Railways UX Redesign · Campus Hostel LAN · Hostel Management System · Hangman Game
Build more. Ship more. Understand what I build.