Summary
Michelle Afravi is a Development Design Evaluation Consultant with a decade of experience turning 0-to-1 product ideas into tested, production-ready systems at the intersection of HCI, embedded firmware, and machine learning. She blends deep research credentials—20+ publications in HCI, game theory, NLP, and computer vision—with hands-on engineering in Python, Java, C/C#/C++, and Android SDK/NDK to ship multi-platform, real-time products. At BlueHalo she architected an ML speech-to-speech system from 25+ candidate models and led cross-functional teams to align technical tradeoffs with C-suite priorities. Her background teaching and open-sourcing tooling for human-agent games in 3D VR gives her a rare ability to design experiments and translate user studies into measurable UX and product improvements. Based in Washington, D.C., she applies both academic rigor and pragmatic engineering to reduce cognitive load, optimize performance, and deliver demonstrable KPIs for embedded and interactive systems.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of Texas at El Paso
2012, 2012 at Silva Health Magnet
English, Spanish, Persian