Ambareesh Revanur
Machine Learning Engineer at Adobe
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAmbareesh Revanur is a Machine Learning Engineer in the San Francisco Bay Area with 10 years of experience building production-ready systems and advancing computer vision research. He blends industry-grade engineering—Scala/Java backend work on low-latency cloud systems and ML-driven routing at Cisco—with deep learning research on video understanding and healthcare applications from Carnegie Mellon. His work includes large-scale image curation and fashion recommendation models presented at RecSys and contributions to ICCV workshops, reflecting a rare mix of applied research and product impact. At Adobe he has progressed from intern to full-time ML engineer, bringing a pragmatic focus on turning novel vision models into deployable features. Notably, he pairs strong academic credentials (CMU MS, top-of-class BE) with hands-on experience building scalable pipelines using Akka/Kafka and mentoring cross-functional teams.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (BE), Computer Science, 9.74/10, Bachelor of Engineering (BE), Computer Science, 9.74/10 at R. V. College of Engineering, BangaloreAI Summer School, AI Summer School at Google ResearchMaster of Science - MS, Computer Science (Robotics), Master of Science - MS, Computer Science (Robotics) at Carnegie Mellon University
Github Skills (29)
python9
machine-learning9
gpu9
deep-learning9
computer-vision8
generative-model8
reinforcement-learning8
natural-language-processing8
semi-supervised-learning8
numpy8
data-quality8
neural-network8
acceleration7
tensorflow7
gpu-acceleration7
Programming languages (3)
Github contributions (5)
revanurambareesh/forexInsights
Dec 2016 - Apr 2017
Contributions:73 commits, 53 pushes in 3 months
revanurambareesh/mdp-tic-tac-toe
Dec 2018 - Mar 2021
Contributions:2 pushes, 1 branch in 2 years 3 months
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