Summary
Emily Hannon is a software engineer with nine years of experience building AI-infused systems across industry and research, currently contributing to Microsoft’s Proactive AI Integration team within Business and Industry Copilot. She blends full-stack development (React, C#) with research-grade machine learning, having implemented vision and language models (LLAMA, YOLO) for autonomous driving, contributed to Higgs boson mass reconstruction with CERN ATLAS data, and prototyped AI backends using Semantic Kernel and FastAPI. Emily has a track record of turning cutting-edge research into production-capable pipelines— from LLVM-style LLM experimentation to Azure DevOps–integrated copilot services—while also shipping embedded and systems tooling earlier in her career. Based in Prague and pursuing an MS in Computer Science at Georgia Tech, she pairs cross-border academic rigor with enterprise-scale delivery and a knack for “human-centered” AI solutions that debug both code and product vibes.
9 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng, Software Engineering - Open Informatics FEL, 1.3, Master of Engineering - MEng, Software Engineering - Open Informatics FEL, 1.3 at Czech Technical University in Prague
Master of Science, Computer Science, Master of Science, Computer Science at Georgia Institute of Technology
Bachelor of Science - BS with Distinction, Computer Science, Bachelor of Science - BS with Distinction, Computer Science at University of Central Florida
English, Czech, Russian