Nidhi Sridhar is a Machine Learning Engineer with 11 years of experience building large-scale data platforms and production ML systems at the intersection of edge computing, IoT, computer vision, and geospatial data. Currently on Amazon’s Connected Vehicles team in the Geospatial org, she combines applied research from her University of Pennsylvania graduate work with hands-on engineering to deliver scalable solutions for last-mile and vehicle-connected scenarios. Her background spans personalization systems for Amazon Music, engineering roles at Microsoft, and research-oriented internships that blended network science, NLP, and anomaly detection. Comfortable moving models from prototype to production, she has a track record of applying statistical rigor and visualization to complex network and diffusion problems—work that began in academic research and persists in her product-focused ML engineering. Located in Seattle, she brings a thoughtful blend of academic depth and industrial delivery to sensor-driven, real-time ML challenges.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Computer and Information Sciences, General, Master's degree, Computer and Information Sciences, General at University of Pennsylvania
Bachelor’s Degree, Information Technology, Bachelor’s Degree, Information Technology at National Institute of Technology Karnataka
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Nidhi Sridhar - Machine Learning Engineer 2 at Amazon