Summary
Fedor Kovalev is a Senior Software Engineer specializing in ML and data systems with 11+ years of experience building high-throughput, production-grade infrastructure for AR/VR, e-commerce, and search. He has led end-to-end data platform unification and MLOps at Meta, delivering large-scale wearable sensor collection campaigns and achieving significant inference and training speedups through quantization and profiling. Previously at Booking.com he introduced production machine translation and deployed the company’s first photo-moderation and image-search models, combining engineering rigor with applied ML. His background spans low-level C/C++ systems, distributed storage and streaming (Kafka, Redis, MapReduce), and on-device ML (PyTorch, ONNX), enabling cross-team reuse and measurable quality improvements like raising test coverage from 56% to 74%. Trained in discrete mathematics at MSU, he pairs formal analytical depth with hands-on system design, and even maintains self-initiated Android projects demonstrating a continued interest in end-user tooling.
11 years of coding experience
14 years of employment as a software developer
Lomonosov Moscow State University
English, Russian