Tech Lead & Full Stack Developer

As Tech Lead at AGS, I helped coordinate a platform that touched three very different technical areas: computer vision, blockchain, and traditional web development. The goal was to automate collectible authentication and create tamper-proof grading records.

Key Contributions

• Computer vision pipeline — worked on the automated grading system using Python, OpenCV, and CVAT to assist with visual analysis of collectibles
• Blockchain integration — helped integrate smart contracts so grading results could be recorded on-chain, giving collectors verifiable provenance
• Full-stack work — contributed across the React frontend, Node.js/Laravel backend, and AWS infrastructure while coordinating with the team

Technical Stack

• Backend: Node.js, PHP (Laravel), Python (Django)
• Frontend: React
• AI/ML: Python, OpenCV, CVAT
• Blockchain: Smart contracts, Web3
• Cloud: AWS
• Databases: MySQL, Redis

Why It Mattered

Collectible authentication is a trust problem. Buyers need to know a grade is legitimate, and sellers need a way to prove it. By combining automated visual analysis with blockchain records, the platform created a verification chain that couldn't be faked or altered after the fact.