Max Golovanchuk is a Senior Speech Inference Engineer with 13 years of experience building low-latency streaming and AI systems for high-stakes real-time applications. He has repeatedly delivered large throughput and latency wins—tripling speech inference throughput and cutting end-to-end latency by 30% at Gladia, and halving surgical-stream latency while optimizing inference to 5ms at Medtronic. Comfortable across the full stack, he designs and tunes pipelines from model internals (Whisper, Parakeet, TensorRT) to serving infrastructure (Triton, QUIC) and browser integration. His background spans product-scale video platforms for gaming and esports to regulated healthcare environments, showing a rare mix of performance engineering and compliance awareness. Max is based in Kyiv and brings a pragmatic engineering style focused on predictable real-time behavior under unpredictable traffic. An early creator of end-to-end Media over QUIC and real-time transcription/translation services, he favors practical innovations that make AI useful in live scenarios.
13 years of coding experience
14 years of employment as a software developer
Scala Training
Master of International Law International Law, Master of International Law International Law at Taras Shevchenko National University of Kyiv
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