Ivan Itzcovich is a Co-Founder and machine learning engineer with 10 years of experience building high-volume conversational AI systems and CX agents across LATAM. He combines hands-on ML engineering—evidenced by near-real-time face detection work and production ML roles at ASAPP and Gantry—with startup leadership as founder/lead at multiple ventures. As an adjunct professor in algorithms and a Microsoft engineering intern alumnus, he blends solid academic foundations (MEng, ITBA) with practical product delivery. Ivan has repeatedly taken models from prototype to deployed services, focusing on scalable, CPU-efficient solutions that work in constrained environments. Based in Vicente López, Buenos Aires, he’s also an amateur surfer, hinting at a taste for iterative risk-taking and persistence outside the lab.
10 years of coding experience
7 years of employment as a software developer
Master of Engineering - MEng Computer Software Engineering, Master of Engineering - MEng Computer Software Engineering at Instituto Tecnológico de Buenos Aires
🚀 😏 Near Real Time CPU Face detection using deep learning
Role in this project:
ML Engineer
Contributions:27 commits, 2 PRs, 7 pushes in 15 days
Contributions summary:Ivan primarily contributed to the implementation and integration of a face detection system using deep learning. Their work included adding support for saving video output, creating an image client, and incorporating a frozen graph option. Furthermore, the user adapted the system to use the Haar cascade classifier for face detection, showcasing the ability to incorporate different approaches. The commits demonstrate proficiency in modifying the core face detection logic and integrating new functionality.
Contributions:10 commits, 6 pushes, 2 branches in 6 months
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