Projects

Computer vision, predictive modeling, generative AI, and full-stack systems. Featured work is on the home page; the full list lives here.

Traffic Intelligence Platform

Computer Vision · Live

End-to-end computer vision platform for vehicle and pedestrian detection, multi-object tracking, trajectory analysis, and traffic analytics. Includes real-time detection, directional counting, FastAPI inference, annotated playback, speed estimation, license-plate OCR, and VLM-based event analysis with semantic retrieval.

  • Python
  • PyTorch
  • OpenCV
  • YOLO
  • ByteTrack
  • FastAPI
  • Docker

Credex — Explainable Credit Risk Modeling Platform

AI / ML · Live

End-to-end credit risk platform built from 1.1M+ transaction records, combining predictive modeling, explainability, APIs, and a web interface. Addresses class imbalance and temporal feature engineering, benchmarks XGBoost against a deep neural network (AUC 0.945), and serves SHAP explanations through a Flask API and Next.js frontend.

  • Python
  • SQL
  • XGBoost
  • TensorFlow
  • SHAP
  • Flask
  • Next.js
  • Docker

Soccer Match LLM Analyst

GenAI / RAG · Live

Full-stack AI application for soccer match search and video discovery using RAG, semantic retrieval, ranking logic, and a Next.js/FastAPI architecture. Uses SentenceTransformers and ChromaDB with recency-aware ranking, home/away team interpretation, official-source prioritization, and automated filtering of simulations and low-quality content.

  • Python
  • Next.js
  • FastAPI
  • GPT-4
  • ChromaDB
  • SentenceTransformers
  • Docker

Apartment Prediction

Data Science · Live

A Next.js application that predicts apartment prices using machine learning models. Features an interactive interface for users to input property details and receive price predictions.

  • Next.js
  • TypeScript
  • R
  • Machine Learning
  • Python

E-commerce Backend

Backend · Completed

A robust backend API for e-commerce applications built with NestJS. Features user authentication, product management, order processing, and comprehensive testing suite.

  • NestJS
  • TypeScript
  • Node.js

Stock Market Web App

Full-Stack

A modern web application for tracking and analyzing stock market data. Built with Vite and React, featuring real-time market data visualization and interactive charts.

  • React
  • TypeScript
  • Vite
  • Tailwind CSS

Algorithmic Trading Data Science

Data Science · Completed

A comprehensive data science project focused on algorithmic trading strategies. Features financial data analysis, trading algorithms, and market prediction models using Python.

  • Python
  • Data Science
  • Machine Learning

Shoprite Inventory Management

Desktop · Completed

A comprehensive Windows Forms application for managing Shoprite's inventory system. Features user authentication, inventory tracking, and business management tools built with C#.

  • C#
  • .NET
  • Windows Forms

CropApp

Mobile · In Development

A React Native mobile application for crop management and agricultural assistance. Features user authentication, data management, and Firebase integration for real-time updates.

  • React Native
  • JavaScript
  • Firebase

Technologies I Work With

AI/ML work sits on top of software engineering, data systems, and deployment.

AI / ML

PyTorch, TensorFlow, scikit-learn, computer vision, RAG

Data

Python, pandas, SQL, PostgreSQL, MongoDB

Backend

FastAPI, Flask, REST APIs, Docker

Software

TypeScript, Next.js, Git, AWS, CI/CD