Rohit Aggarwal is a Machine Learning Engineer based in California with nine years of experience designing and shipping NLP and deep learning solutions for production systems. He has driven duplicate-bug detection, triage and auto-close algorithms at Oracle and now applies ML research to product problems at Google, bringing a strong software engineering background in Python, NumPy, TensorFlow and Keras. His career spans semiconductor physical-design roles at NVIDIA to ML-focused positions, giving him rare cross-domain expertise in systems-aware model deployment. Rohit holds top academic credentials—degrees from BITS and UT Austin and an AI certificate from Stanford—with consistently excellent grades, and he seeks to build AI solutions in computer vision and NLP that solve tangible real-world pain points.
9 years of coding experience
5 years of employment as a software developer
Master’s Degree, Electrical and Computer Engineering, 4.0/4.0, Master’s Degree, Electrical and Computer Engineering, 4.0/4.0 at The University of Texas at Austin
Bachelor’s Degree, B.E. (Hons.) Electrical and Electronics Engineering, M.Sc. (Hons.) Economics, 9.88/10, Bachelor’s Degree, B.E. (Hons.) Electrical and Electronics Engineering, M.Sc. (Hons.) Economics, 9.88/10 at Birla Institute of Technology and Science
Graduate Certificate, Artificial Intelligence, 4.0/4.0, Graduate Certificate, Artificial Intelligence, 4.0/4.0 at Stanford University
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Rohit Aggarwal - Machine Learning Engineer at Google