Poornav Purushothama
Applied Scientist at Amazon
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolPoornav Purushothama is an Applied Scientist with a decade of experience building production-scale ML solutions for networking at Aruba Networks/HPE and Amazon. He specializes in combining classical and deep learning approaches—LDA-driven feature extraction, hierarchical and k-means clustering, Random Forest/GBT, and char-based 1D CNNs—to profile and classify millions of network and IoT devices from traffic and text. His work moved device-classification accuracy from 72% to 95% and coverage to 97% in production, and an LDA-hierarchical pipeline now clusters over 5 million devices. A UC San Diego MS in Machine Learning and AI, he pairs research-grounded techniques with pragmatic engineering (TensorFlow, Keras, scikit-learn, OmniSci) to ship scalable models. He also brings low-level systems experience from telecom R&D and a knack for turning text and telemetry into actionable features for large-scale operational systems.
10 years of coding experience
7 years of employment as a software developer
University of California, San DiegoPUC, PUC at Vidya Mandir Pre-University CollegeBachelor of Engineering (BE) Information Technology, Bachelor of Engineering (BE) Information Technology at PESITS.S.L.C., S.S.L.C. at V.V.S Sardar Patel High School
English, Kannada, Hindi
Github Skills (5)
computer-vision8
python8
machine-learning7
atlas1
metadata1
Programming languages (1)
Github contributions (5)
Poornav/Unusual-Human-Activity-Detection
Jan 2017 - Feb 2020
To detect the abnormal/unusual human activities in a video
Contributions:11 commits, 8 pushes, 1 branch in 3 years 2 months
unusualpythonhuman-activitiescomputer-visionmachine-learning
Poornav/NMR-similarity-search-using-PLSI
Nov 2017 - Jan 2021
Contributions:5 pushes, 1 branch in 3 years 3 months
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