Ankit Patel is an Applied Scientist with 11 years of experience building production-grade ML systems across EdTech, computer vision, and scientific domains. He helped architect LLM-powered summarization and question retrieval at SigIQ that drove 2.5M+ reads and 43% of user engagement, and designed a knowledge model and recommender that converted 50% of paying users. At Matterport he improved room classification and segmentation models (up to +25% F-score) while cutting inference latency by 30%, and earlier work on reactor modeling delivered projected $320k fuel-cycle savings. Comfortable moving models from research to product, he pairs deep learning expertise (CNNs, ViT, UPerNet, torchscript) with pragmatic data and annotation pipelines. Based in California, he blends academic rigor from Purdue with startup execution, and favors solutions that measurably boost user engagement and operational ROI.
11 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology Kanpur
Data Scientist Nanodegree Data Science, Data Scientist Nanodegree Data Science at Udacity
Master's degree Geomatics, Master's degree Geomatics at Purdue University
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