Milad Mostavi is a Lead Data Scientist in the Austin area with nine years of experience bridging academic deep-learning research and production analytics in telecom. He earned a PhD focused on medical applications of deep learning and has translated that expertise into time series forecasting, anomaly detection, and NLP solutions for network usage and outage prediction. Milad has built end-to-end pipelines—from domain discovery and ETLs to deployed ML models—and led projects that range from one-shot cancer classifiers and genome-trained GAN feature extractors to call-intent and customer-segmentation systems. He favors novel, challenging problems over routine tasks and brings a strong experimental mindset informed by extensive work on CNNs, GCNs, and attention mechanisms. Outside work he seeks high-adrenaline experiences and reads self-help books, signaling a driven, growth-oriented approach to both life and engineering.
Contributions:9 pushes, 1 branch in 2 years 3 months
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