Blog
Writing about AI/ML projects, web development, personal experiences, and tech insights.
Project Deep Dives
Technical breakdowns of my AI/ML and web development projects
Building a Cloud-Based Hand Tracking System for Vehicles
How I developed a proof-of-concept for offloading ML computation to the cloud for real-time gesture recognition in automotive applications.
Fishbot.org: From Side Project to Tiered SaaS Distribution
The journey of building an AI-powered World of Warcraft fishing bot with YOLO, and launching it as a commercial product.
RoyaleTrainer: crowdsourcing 180,000+ Image Annotations
How I built a platform that engaged 500+ community contributors to create a massive dataset for training computer vision models.
Py-ClashBot: Full Game Automation with Computer Vision
Building an automation bot that handles complete Clash Royale gameplay using PyTorch and OpenCV for competitive play.
ChessPecker: Implementing the Woodpecker Method Digitally
The story behind building a chess tactics trainer that uses spaced repetition and the Lichess API to help players improve.
1 Month Challenge: Building an AI Vision System for Clash Royale
A deep dive into creating a real-time AI system that detects units, classifies types, and estimates tower health from gameplay footage.
Opinion Pieces
Perspectives on AI, development practices, and the tech industry
Edge vs Cloud ML: The Real Performance Trade-offs
Everyone talks about edge computing for ML, but the reality is more nuanced. Here's what 3 years of building vision systems taught me.
The Rise of Edge AI: Why On-Device Intelligence Is the Next Frontier
Edge AI leads the next wave of intelligent systems. Explore how on-device inference transforms latency, privacy, and scalability for modern ML applications.
LLM Code Generation: A Reality Check from the Trenches
After using GPT-4, Claude, and Copilot daily for months, here's what actually works and what doesn't in real production environments.
PyTorch vs TensorFlow in 2025: It's Not What You Think
The framework wars are over, but not in the way most people expected. A practical take from someone who uses both daily.
Real-Time Data Monitoring Pipelines for AI Systems
Learn how to build scalable real-time data pipelines for AI systems using PostgreSQL, Supabase, and WebSockets. A practical guide to streaming analytics and ETL automation.
Building Intelligent Agents: Practical AI Agent Development With Modern Frameworks
A hands-on guide to building autonomous AI agents with LangChain and modern frameworks. Learn agent architecture, implementation patterns, and reliability strategies.