Summary
Orif Milod is a software engineer with nine years of experience building high-performance, production-grade systems across self-driving, streaming, and voice assistant domains. He has shipped features at scale at Netflix—personalizing search results for ~30% of requests, enabling nested grouping to collapse many calls into one, and building multi-index search to reduce operational cost—and contributed to Alexa’s low-latency ASR/TTS engine at Amazon. Comfortable in C++ and Java and experienced with multithreaded systems on x86/ARM, he bridges research and engineering by deploying DNN models to production and collaborating with science teams. Now working on Waymo’s self-driving stack from Warsaw, he brings both platform-level design and product-focused delivery to complex distributed systems. Trained in applied mathematics and quantitative finance, he pairs rigorous quantitative thinking with hands-on engineering to solve performance and scalability challenges. Colleagues describe him as a pragmatic builder who reduces operational burden through validation and thoughtful API design.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Vistula University
Master's degree Quantitative Finance, Master's degree Quantitative Finance at University of Warsaw
Masters Applied Mathematics, Masters Applied Mathematics at Moscow Institute of Physics and Technology (State University) (MIPT)
English, Tajik, Polish