edwin jojie

I’m an AI/ML and full-stack developer experienced in building intelligent systems spanning computer vision, distributed AI infrastructure, blockchain-based verification, and scalable backend architectures. I’m especially drawn to AI R&D, applied machine learning, and the engineering details that turn research ideas into reliable software.

In my internships, I’ve designed end-to-end AI pipelines and system workflows that improve automation, usability, and efficiency. At IBS Software, I worked on an AI-driven proof-of-concept enterprise platform with full-stack feature prototyping and R&D-oriented product engineering workflows.

My computer vision work includes building an AI-powered illegal trash dumping detection system that integrated YOLOv8, MiDaS depth estimation, optical flow analysis, event detection pipelines, and custom-trained models. I also implemented automated, timestamped visual evidence collection and reporting workflows while designing the system architecture and AI decision pipeline.

I also enjoy building distributed and secure backend systems. At Magnory, I developed client-focused web and desktop apps with React.js, Node.js, Electron, and Firebase; across projects, I’ve built Hyperledger Fabric-based credential verification and a distributed AI guardrail system for LLM rate limiting, abuse detection, and concurrency-safe resource reservation.