Ba Tran is a software and ML engineer with nine years of experience building large-scale, production-ready systems and research-driven AI applications. Currently a Graduate Research Assistant at University of Dayton, he engineers LLM-powered coding platforms, scales Transformer-based vision models to 90%+ accuracy, and led a 30+ participant Human-AI Interaction study with a first-author paper. Previously at Shopee he revamped 22 microservices, delivered sub-500ms deployments, and built NLP and fraud-detection features that served millions across ASEAN. His prior work includes generating 600K synthetic dashcam images with GANs/Diffusion/VLMs and automating benchmarking that resulted in journal publication. Based in the Bay Area with a 4.0 MS in Computer Science, he blends rigorous research, systems engineering, and product-minded impact—plus an unexpected note: he’s an Adele fan who codes for autonomy and creative AI.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 4.00, Master of Science - MS, Computer Science, 4.00 at University of Dayton
Specialization in Mathematics, Specialization in Mathematics at VNU-HCM High School for the Gifted
Bachelor of Science - BS, Computer Science, 3.84, Bachelor of Science - BS, Computer Science, 3.84 at VNUHCM - University of Science
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