Summary
Kunj Parikh is a Software Engineer 3 based in San Jose with nine years of engineering experience and a master’s in Computer Engineering focused on Data Science. He has built and productionized ML systems at Lam Research—designing TensorFlow/Keras models, end-to-end ETL pipelines in Python/Docker, and REST APIs for throughput prediction—while also deploying lightweight models to Android via TFLite. His background blends academic research (IEEE publication and large-scale CNN experiments collecting 23K samples) with hands-on mobile and backend engineering, evidenced by an internship that reduced app size 35% through TensorFlow Lite optimization. Comfortable across Python, Java, C++, Android, React/Node and cloud-enabled workflows, he excels at translating research into usable, performant products and collaborating across teams.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Master of Science - MS at San José State University
Bachelor of Engineering Computer Science, Bachelor of Engineering Computer Science at Gujarat Technological University
Gujarati, English, Hindi