Summary
Nima Sedghiye is a Senior MLOps Engineer with eight years of experience bridging research-grade speech AI and production systems, currently driving ML operations at Khodro45.com. He has led a speech synthesis sub-team and improved ASR performance at Part AI Research Center by applying pruning, ONNX, and quantization to shrink models while boosting speed and energy efficiency. His work spans TTS, ASR, speaker diarization and novel assistive systems—like a 3D object detector for blind navigation and a real-time digital pen—illustrating a knack for turning academic research into practical products. Comfortable across Python, C++, TensorFlow/PyTorch and containerized deployments, he combines mentoring and cross-functional collaboration with hands-on optimization expertise. A published researcher and frequent contributor to Persian speech projects, he brings both deep technical rigor from Amirkabir University and a consistent focus on deployable, resource-efficient ML.
8 years of coding experience
8 years of employment as a software developer
Amirkabir University of Technology
National Organization for Development of Exceptional Talents (Sampad)
English, Persian, Turkish, German, Azerbaijani