Thet Naing Aye

I’m a software engineer combining 6+ years of full-stack experience with hands-on work in applied AI and blockchain. At Lucence Diagnostics, I grew from Software Engineer to Software Engineering Lead, building serverless applications on AWS and GCP and helping cut laboratory turnaround time from 14 to 5 days.

My recent work in AI, computer vision, and blockchain has broadened my technical skills and prepared me to tackle new engineering challenges. In my academic projects, I built AI-enabled applications and blockchain applications. I trained a ResNet-50 model for vehicle damage classification and integrated explainable AI (XAI) with Grad-CAM into a React/FastAPI prototype. I also fine-tuned Donut, a document understanding transformer, to extract medical-form data and used Solidity smart contracts on Polygon PoS to record tamper-evident audit hashes while keeping medical data off-chain. This work spans computer vision, explainable AI, human review of model outputs, blockchain-based data integrity, and privacy-aware data handling.

I moved from marine engineering into software in 2017. Working across marine engineering, semiconductor manufacturing, and healthcare taught me to learn unfamiliar domains and adapt to different teams. I value attention to detail, collaborative problem-solving, and mentoring junior developers.

I’ve held the AWS Certified Solutions Architect – Professional certification since 2021 and am pursuing a Master of Engineering in Software Systems Engineering at the University of Regina. I want to keep learning, take on new challenges, and be part of a positive team where my work makes workflows easier.