Case Studies
Real projects built with real constraints. Each one taught me something new about shipping AI in production.
HairHaven
Problem
Barbers needed a unified platform for client management with AI-powered hairstyle recommendations.
Approach
Built end-to-end product with ML-based style matching, appointment scheduling, and retrieval-augmented client history.
Outcome
Reduced style consultation time by 60%. Shipped production recommendation system with real-time inference.
Gunshot Detection System
Problem
Community safety requires immediate detection and alerting for gunshot sounds in urban environments.
Approach
Audio classification pipeline with transfer learning on acoustic datasets. Mobile app integration with real-time streaming.
Outcome
Sub-second detection latency. Deployed with privacy-preserving edge inference and app-based alert system.
Trading Analytics Research
Problem
Quantitative analysis requires rapid prototyping of trading signals with rigorous backtesting.
Approach
Research prototype with market data pipelines, signal generation, and comprehensive backtesting framework.
Outcome
Built evaluation harness for strategy comparison. Personal research project with systematic risk controls.