Summary
Lukas Pavez is a data analyst and computer science engineer from Universidad de Chile with a decade of hands-on experience bridging robotics, computer vision, and applied research. He spent four years in a university robotics lab programming ROS state machines and competing at RoboCup, which honed his systems-level thinking and real-time behavior design. For his thesis he explored non-local self-attention in object detection networks, achieving strong experimental results that signal a practical grasp of modern deep learning techniques. As a research assistant he delivered end-to-end prototypes for face recognition, exposure-time estimation in video, and product search by converting images and sketches to vector embeddings. Now consulting for NTT DATA across LATAM, he combines academic rigor with product-focused implementation to move models from research into demos and web prototypes. Colleagues know him for pairing experimental curiosity with pragmatic engineering—able to go from neural-architecture tweaks to deployed search demos.
10 years of coding experience
4 years of employment as a software developer
Computer Science Engineering, 6.6, Computer Science Engineering, 6.6 at Universidad de Chile
Japanese, English