Abhijeet Shenoi
VP Of Engineering at Bunkerhill Health
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAbhijeet Shenoi is a VP of Engineering based in San Francisco with eight years of experience building production-grade computer vision and deep learning systems, now focused on healthcare imaging and medical segmentation. He blends academic research (Stanford Vision Lab, multiple publications and large-scale datasets) with hands-on startup execution—having been the first ML hire at Hakimo where he architected scalable video pipelines and drove the company from 0 to meaningful ARR. His background spans 2D/3D multi-object tracking, sensor fusion, unsupervised and semi-supervised learning, and translating those methods into distributed, Kubernetes-backed systems. Comfortable across the stack, he has driven ML Ops, backend, frontend, and DevOps decisions while serving as the technical customer liaison. Notably, he pairs deep research pedigree with practical product delivery, repeatedly turning novel vision ideas into high-throughput, reliable services.
8 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology MadrasMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
English, Konkani, Kannada, Spanish, Hindi
Github Skills (6)
point-cloud8
large-scale7
computer-vision7
object-detection7
scale7
python2
Programming languages (2)
Github contributions (5)
StanfordVL/JRMOT_ROS
Mar 2020 - Feb 2021
Source code for JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
Contributions:7 commits, 2 PRs, 9 pushes in 10 months
object-trackertrackerdatasetobject-detectioncomputer-vision
StanfordVL/STIP
May 2019 - May 2020
Contributions:9 commits, 1 push in 1 year 1 month
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