Summary
Jordi Alcàcer is a pragmatic Computer Vision Software Engineer with eight years of experience building production-ready AI systems, blending an Industrial Engineering foundation with advanced degrees in Game Design, AI, and an MBA. He has shipped embedded vision solutions—optimizing YOLO detectors with C++/TensorRT and halving visualization latency via a custom OpenGL renderer on Jetson Xavier—while also delivering PyTorch-based medical imaging models and business intelligence dashboards. Comfortable across the stack, Jordi pairs low-level performance engineering (C++, OpenGL, TensorRT) with high-level model development (PyTorch, TensorFlow) and automation tooling in Python. He has taught neural networks in a Big Data master’s program and supervised contractor ML projects, reflecting both technical depth and mentorship experience. Ambitious to lead AI initiatives, he focuses on pragmatic, business-aligned solutions and continuously explores emerging areas like reinforcement learning and embedded inference.
8 years of coding experience
4 years of employment as a software developer
Computer Vision Nanodegree, Artificial Intelligence, Computer Vision Nanodegree, Artificial Intelligence at Udacity
UPC Universitat Politècnica de Catalunya
Masters Degree in Artificial Intelligence, Artificial Intelligence, 8.5, Masters Degree in Artificial Intelligence, Artificial Intelligence, 8.5 at VIU - Universidad Internacional de Valencia
Professional Certificate, Artificial Intelligence, Professional Certificate, Artificial Intelligence at Stanford University
Spanish, Catalan, English, French, Japanese