Bijan Varjavand is a machine learning engineer and technical program manager with a decade of experience building end-to-end ML systems for computer vision, time series forecasting, and deployed inference at scale. He has delivered productionized ML-Ops ecosystems—containerized microservices, automated retraining pipelines, and secure storage—that powered multifaceted projects from context-aware audio/video assistants to 50+ time-series models and agricultural forecasting for smallholder co-ops. Bijan has moved between startups, government labs, and enterprise, bringing hands-on expertise in TensorFlow/PyTorch, MLflow/DVC, and cloud deployment while writing technical proposals and guiding cross-disciplinary teams. He pairs rigorous academic training (MS in Biomedical Engineering from Johns Hopkins, work on terabyte-scale 3D brain data and published graph-statistics papers) with practical product instincts from founding a successful ag-tech startup. Notably, he’s bridged research and applied engineering—shipping audio/face ID models, ASR/TTS integrations, and GAN-based image tools—while advocating for ML-Ops adoption across teams. Based in San Francisco, he now focuses on making AI systems robust and impactful in high-stakes settings.
Contributions:33 pushes, 1 branch in 2 years 8 months
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