Summary
Sagar Parikh is a senior machine learning engineer with 11 years of experience building ML and big data solutions across North America, currently driving ML work at Uber in New York. He blends deep practical expertise in ML/DL frameworks (TensorFlow, Keras, Scikit-Learn), Apache Spark, and AWS with production-focused engineering skills in Python, Java, and web frameworks like Flask and Django. Sagar has moved models from research to production across industries including insurance and workforce analytics, and is adept at communicating insights to both technical and non-technical stakeholders. His background includes a Master’s in Computer Science (Big Data) from SFU and hands-on roles that span data science, cloud development, and teaching—reflecting a strong mix of academia and applied engineering. Notably, he shifted from Canadian ML teams to a senior role at Uber in 2025, underscoring a trajectory of rapid growth and large-scale ML impact.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.) Information Technology, Bachelor of Engineering (B.E.) Information Technology at L.D. College of Engineering
Masters in Computer Science Big Data, Masters in Computer Science Big Data at SFU School of Computing Science
English, Hindi, Gujarati