Summary
Kunal Kotian is an applied scientist with 8 years of experience building and operationalizing data science and machine learning solutions at Amazon, grounded in MS degrees in Data Science and Mechanical Engineering. He has progressed from data scientist to Applied Scientist II, applying time-series forecasting, anomaly detection, and scalable model management for large fleets of signals. Earlier work includes developing production-ready LSTM pipelines for thousands of meters and tools that reduced inspection effort by 99%, demonstrating a focus on automation and engineering rigor. Comfortable across SQL, Python, TensorFlow and system design, he bridges research-grade models and reliable production pipelines. Based in Seattle, he pairs a research-oriented mindset with hands-on implementation, often emphasizing robust testing, model storage/versioning, and usability for non-expert operators.
8 years of coding experience
11 years of employment as a software developer
Master of Science Data Science, Master of Science Data Science at University of San Francisco
Bachelor of Engineering Mechanical Engineering, Bachelor of Engineering Mechanical Engineering at Vishwakarma Institute Of Technology
Master of Science Mechanical Engineering, Master of Science Mechanical Engineering at The Ohio State University
English, Marathi, Hindi