Content Refresh Risk Screening using Machine Learning

Developed a machine learning solution to identify web pages at risk of declining performance using a dataset of 101,362 pages across 44 anonymized clients. Compared Logistic Regression and Random Forest models and evaluated performance using ROC-AUC, F1 score, confusion matrices, and feature importance.

University Course Enrollment Monitor

Developed an automated web monitoring tool to track university course enrollment availability and detect changes in course status. Implemented automated monitoring, data extraction, and notification logic with a focus on reliability and practical automation.

DecisAi - AI Bidding Engine

DecisAI is an AI-powered bidding and procurement decision engine built for analyzing RFPs, RFQs, and tenders. It processes large, multi-page procurement documents, extracts requirements, deadlines, evaluation criteria, financial information, and proposal questions, then matches those requirements against a company’s capability and project-history dataset using Retrieval-Augmented Generation (RAG) with SentenceTransformers and ChromaDB. The system performs compliance analysis, identifies gaps and risks, generates evidence-backed proposal responses using local Ollama/Qwen, validates outputs to reduce hallucinations, and combines compliance, budget, historical performance, and competitive factors to produce a GO, CONDITIONAL GO, HIGH RISK, or NO-GO recommendation. It also supports proposal export to JSON, DOCX, and PDF and keeps the final decision human-confirmed.

Game Hosting Platform

Developed a web-based game hosting platform where developers can publish games and users can discover and play browser-based games. The project combines web development, database integration, search and filtering functionality, and a planned AI-based game generation workflow.