Gurgen Hayrapetyan
Lecturer, Applied Analytics at Columbia University in the City of New York
Flushing, Michigan, United States
Summary
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Senior🎓
Top SchoolGurgen Hayrapetyan is an applied mathematician and AI practitioner with nine years of experience bridging academic research and production engineering across autonomy, analytics, and media. He lectures in Applied Analytics at Columbia University, where he created and teaches courses on Generative AI and capstone problem-solving, while also co-founding an AI-driven multimedia travel startup building data-intensive backends and on-device models. Previously he developed situational understanding, multi-object tracking, and trajectory optimization for Mercedes-Benz R&D, applying rigorous math to safety-critical motion planning. His background in gamma-convergence and gradient-flow analysis informs a principled approach to designing scalable ML systems and real-time algorithms. Based in Flushing, Michigan, he blends deep theoretical training (PhD in Applied Mathematics) with hands-on engineering in computer vision, FFMPEG/OpenCV pipelines, and multimodal generative systems.
9 years of coding experience
8 years of employment as a software developer
High School Mathematics, High School Mathematics at Manhattan High SchoolDoctor of Philosophy Applied Mathematics, Doctor of Philosophy Applied Mathematics at Michigan State UniversityBachelor of Science Applied Mathematics Computer Science, Bachelor of Science Applied Mathematics Computer Science at Kettering University
Russian, Armenian, English, Spanish, Italian
Github Skills (5)
object-detection1
computer-vision1
machine-learning1
deep-learning1
vehicle-detection1
Programming languages (1)
Github contributions (5)
gurgentus/CCST
Aug 2017 - May 2023
Contributions:30 pushes, 1 branch in 5 years 10 months
gurgentus/Intro-Control-and-Estimation
Mar 2017 - Oct 2017
Contributions:90 pushes, 1 branch in 6 months
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