Ambareesh 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.
11 years of coding experience
5 years of employment as a software developer
AI Summer School, AI Summer School at Google pour les pros
Bachelor of Engineering (BE) Computer Science, Bachelor of Engineering (BE) Computer Science at RV College Of Engineering
Master of Science - MS Computer Science (Robotics), Master of Science - MS Computer Science (Robotics) at Carnegie Mellon University
Contributions:2 pushes, 1 branch in 2 years 3 months
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