Ashok Addala is a Staff Machine Learning Engineer based in the San Francisco Bay Area with 9 years of experience applying computer vision and predictive analytics to real-world products. He has deep hands-on expertise with CNNs, Mask R-CNN, RNN/LSTM, PyTorch/TensorFlow, and end-to-end ML deployment on AWS Sagemaker, Ground Truth, Lambda and Docker. At GE HealthCare and previously Fugro he built and validated vision models for detection, classification and semantic segmentation while also owning data engineering and ETL workflows. His background combines formal data science training (MS in Data Science & Business Analytics) with early-career experience delivering automation and analytics for banking systems, giving him a rare blend of production ML rigor and pragmatic engineering. He’s known for accelerating SDLC cycles through automation, robust testing and CI practices that translate research models into reliable, scalable systems.
9 years of coding experience
9 years of employment as a software developer
Master’s Degree Data Science & Business Analytics, Master’s Degree Data Science & Business Analytics at University of North Carolina at Charlotte
Bachelor of Technology (BTech) Electrical Electronics and Communications Engineering, Bachelor of Technology (BTech) Electrical Electronics and Communications Engineering at Jawaharlal Nehru Technological University, Kakinada
Contributions:2 pushes, 1 branch in 4 years 8 months
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Ashok Addala - Staff Machine Learning Engineer at GE HealthCare