Akshay Bhatia is a data scientist based in San Francisco with a solid foundation in EECS (MS) and nine years of hands-on experience building ML solutions across industry and academia. He has moved from ML internships into research roles in NLP and now contributes to production data science at Dell, combining deep learning frameworks (TensorFlow, PyTorch) with deployment tools like Docker, Kubernetes and AWS. Comfortable in Python, C++ and Java, he pairs model-building skills with practical MLOps experience (Kubeflow, Flask) to take prototypes into production. His background includes graduate research and teaching experience at UC Merced, reflecting both technical depth and the ability to communicate complex ideas. An early adopter of ML education (Udacity nanodegrees) and a former NLP research scientist, he brings a blend of curiosity-driven research and product-focused delivery.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electrical Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electrical Electronics and Communications Engineering at Jaypee University of Information Technology
Deep Learning Nanodegree Foundation Machine Learning, Deep Learning Nanodegree Foundation Machine Learning at Udacity
High School, High School at Green Fields School
Master of Science - MS Electrical Engineering and Computer Science, Master of Science - MS Electrical Engineering and Computer Science at University of California, Merced
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