A selection of applied AI and machine learning projects I've worked on—from computer vision and retrieval-augmented systems to forecasting and marketing optimization.
RAG · Enterprise Support
Support system for commercial Wi‑Fi facilities—hospitals, schools, and large venues. The backend is a RAG-based AI support system so field engineers can scale support and resolve issues faster with accurate, document-grounded answers.
Tech: RAG, embeddings, LLM
Computer Vision · Sports Tech
Mobile app that uses vision technology to capture athlete activities and report back in real time on how to improve mechanics—from pitching analysis to form feedback. Built for athletes, parents, and coaches who want pro-level feedback between sessions.
Tech: React Native, Expo, computer vision, Supabase
Computer Vision · Deep Learning
Deep learning and computer vision pipeline that detects room areas from complex floor plans to calculate square footage for smarter billing and reporting.
Tech: Python, PyTorch
Generative AI · Career Coaching
AI assistant that helps job seekers prepare for interviews with tailored practice questions, summaries, and feedback based on job descriptions and resumes.
Tech: React, Supabase, Make, Resend, Stripe, OpenAI, Perplexity
Agentic Content · Generative AI
System that turns book content into daily LinkedIn posts so authors can grow an audience without writing each post manually.
Tech: React, Next.js, Supabase, n8n, OpenAI, Gemini
Agentic Workflows · Automation
Automation workflow that orchestrates multiple AI agents to create slide-ready image graphics and supporting copy for course presentations. Uses text generation to draft content and image generation to produce on-brand visuals with minimal manual design work.
Tech: OpenAI image generation, OpenAI API, Claude API, automation workflows
Time-Series Forecasting
Production and decline forecasting models for an oil well to anticipate output, plan maintenance, and support financial projections.
Tech: Python, AWS, SageMaker, DeepAR, time-series modeling
Generative AI · Video
Tool (built with my kids) that creates instant social-ready real estate reels from listing data and imagery.
Tech: React, Next.js, Supabase, Make, Resend, Stripe, OpenAI Vision
Retrieval-Augmented Generation
Private retrieval-augmented chatbot over a client's institutional documents to surface accurate answers with citations instead of generic responses.
Tech: Vector search, embeddings, LLM-based generation
Applied Data Science · Finance
Tools that take a client's current retirement holdings across multiple accounts and suggests how to rebalance into a target portfolio (such as a 60/40 Vanguard mix) while looking at accounts holistically instead of in silos.
Tech: Pandas, NumPy, scikit-learn, yfinance, Plotly
Applied Machine Learning · Marketing
Machine learning model for my own business that predicts performance of Facebook ad spend to guide budget allocation and improve return on ad spend.
Tech: Python, regression & classification models