Victor Escorcia is a freelance consultant and PhD-trained electrical engineer with 11 years of experience building and translating computer vision and AI research into on-device and mobile-ready solutions. He has led advanced projects at SAIC on GenAI image enhancement, lightweight LLMs, self-supervised video understanding and real-time video highlight generation, and previously interned at Adobe and Qualcomm developing cross-modal and action-understanding systems. Based in Cambridge with roots in Colombia and Italy, Victor blends deep academic rigor from KAUST with hands-on engineering to deliver production-focused models for constrained environments. He is self-taught in software practice, comfortable across research and engineering domains, and known for shrinking cutting-edge vision and language models to run efficiently on edge devices.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical and Electronics Engineering, Doctor of Philosophy (Ph.D.) Electrical and Electronics Engineering at KAUST (King Abdullah University of Science and Technology)
Deep Learning Summer School
Master of Science - MS Electrical and Electronics Engineering, Master of Science - MS Electrical and Electronics Engineering at Universidad del Norte
This repo allocate DAPs code of our ECCV 2016 publication
Contributions:19 commits, 9 pushes, 1 branch in 1 year 11 months
pythoneccvpython27computer-visiontheano
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Victor Escorcia - Freelance Consultant at MacondoLabs