Nisheeth Golakiya is a Senior Machine Learning Engineer based in Bengaluru with 9 years of industry experience and a strong 7-year track record in data science and production ML. He has built scalable, automated model pipelines at PayPal that handle datasets up to 11M rows and thousands of features, and has productionised propensity and biweekly scoring systems used by marketing teams across Venmo/PayPal. His background spans deep learning for object detection from aerial imagery, reinforcement learning for autonomous systems and warehouses, and practical transfer-learning solutions deployed as microservices. Comfortable across research and engineering, he combines PyTorch/PyTorch-Lightning, AutoML, Ray Tune and Docker to move models from prototype to robust services. Notably, he has experience fine-tuning Vision Transformers for content moderation and designing rapid model refresh pipelines that emphasize modularity and scalability. An IIT Roorkee computer science graduate, he blends strong academic foundations with hands-on delivery of high-impact ML systems.
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