Laszlo Kovacs is a Performance Engineer with 11 years of experience building and optimizing high-performance C++ systems across navigation, media, and distributed playback domains. He has led architecture and product work at NNG and Cinemo, focusing on routing, search, clock synchronization, and audio drift — often blending algorithmic research, AI-assisted coding, and low-level optimization. Comfortable across cloud and embedded environments, he has shipped search engines, cloud routing components, and multimedia playback features while contributing to testing and platform tooling. Equally fluent in modern stacks, he also develops React/TypeScript interfaces and leverages OpenSearch and Python for intelligent media search backends. Based in Budapest, he pairs competitive-programming-style problem solving with formal electrical engineering training and a Udacity self-driving cars nanodegree. A detail-oriented pragmatist, he often tackles the “hardest 10%” of systems where algorithmic finesse and performance tuning make the product practical.
11 years of coding experience
17 years of employment as a software developer
Master of Science (MSc) Electrical Engineering and Software Science, Master of Science (MSc) Electrical Engineering and Software Science at Budapest University of Technology and Economics
Nanodegree Self Driving Car, Nanodegree Self Driving Car at Udacity
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