Summary
Martin Brázdil is a Senior Machine Learning Engineer with 12 years of experience specializing in AI-driven video analytics and production-grade computer vision systems. He has led small cross-functional teams end-to-end, from neural network design and training to real-time inference optimization and scalable video/stream processing pipelines. His toolbelt spans C++/CUDA, Python, PyTorch, TensorRT, DeepStream and Triton, and he pairs low-level performance work (decoding/encoding, multi-stage Dockerfiles) with practical tooling like evaluation benchmarks and CVAT-backed annotation workflows. Martin values minimalistic, highly logical code and brings a pragmatic, bias-aware mindset to collaboration and architecture decisions. Based in Prague, he combines applied research experience with production deployments, often coordinating external annotators and business partners to close the loop between models and real-world video analytics. A subtle strength is his habit of optimizing not just models but the surrounding infrastructure—build systems, CI and devcontainers—to keep complexity manageable.
13 years of coding experience
11 years of employment as a software developer
Master's degree, Knowledge Engineering, Master's degree, Knowledge Engineering at Czech Technical University in Prague
English, Czech