I build Python applications — web, data, and everything in between.

I built a conversational AI assistant directly into my portfolio site. Recruiters and visitors can ask anything about my projects, skills, and background — and get grounded, cited answers in real time, powered by RAG (Retrieval-Augmented Generation) and Llama 3.3 70B via Groq.

I built a convolutional neural network that classifies food images into 101 categories using two-stage transfer learning with MobileNetV2. Upload any food photo and get instant top-3 predictions with confidence scores — live on Hugging Face Spaces.

A full ML pipeline benchmarking TF-IDF + Logistic Regression, a Keras LSTM, and Claude Haiku via Amazon Bedrock on 50,000 IMDb reviews. The winning model is deployed live as a serverless REST API on AWS Lambda with a Flask frontend.

Full-stack Flask portfolio with a custom admin dashboard, PostgreSQL, a public REST API, media management, automated backups, and CI/CD deployment to Railway via GitHub Actions.

Monitors a stock's daily price change and fires WhatsApp alerts with the top 3 news headlines via Twilio whenever the move exceeds a configurable threshold.

Log workouts to Google Sheets using plain English. A local LLM parses your session, calories are calculated via the MET formula, and each exercise is written as a timestamped row — no manual entry.

Terminal Blackjack in Python — two versions side by side. Procedural course solution plus a full OOP rebuild with animated ASCII card UI, chip system, split, double down, insurance, and difficulty modes.

Stack Overflow lost 97.7% of its post volume since 2016 — and its momentum now anti-correlates with hiring demand. This project proves the signal is broken, then builds a four-source replacement index to answer which languages to hire for.