Amil Khan
Teaching Assistant ECE 281 Advanced Computer Vision at UC Santa Barbara
Goleta, California, United States
Summary
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Rockstar🎓
Top SchoolAmil Khan is a PhD student in Electrical and Computer Engineering at UCSB who designs and ships large-scale image and video processing systems, blending research in novel computer vision algorithms with production ML infrastructure. With nine years of experience and over five years building production-grade CV/ML software plus three years managing teams, he leads BisQue—an NSF-funded platform for terabyte-scale imaging, low-latency ML microservices, and up-to-5D visualization. He’s equally comfortable authoring papers on supervised and unsupervised vision methods and operating Kubernetes-backed microservices using Kafka, Minio, and Argo at production scale. A practiced debugger and educator (TA for multiple ECE vision courses), he also consults on ML infrastructure for the Allen Institute, bringing both academic rigor and hands-on deployment expertise. Notably, his background in applied statistics and materials research gives him a cross-disciplinary perspective that informs robust, data-driven system design.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at UC Santa Barbara
Stackoverflow
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Github Skills (54)
threejs10
kubernetes10
docker10
geometry10
python10
cloud-computing10
image-processing10
statistics10
gpu-programming10
machine-learning10
manifold10
generative-adversarial-network10
deep-learning10
bioinformatics10
computer-vision10
Programming languages (6)
Github contributions (5)
UCSB-VRL/bisqueUCSB
Feb 2020 - Jan 2023
An ML Platform for storing, analyzing, and visualizing your data all in the browser.
Contributions:5 releases, 25 reviews, 198 commits in 2 years 11 months
machine-learningcloud-computingdeep-learningmedical-imagingbioinformatics
amilworks/GanDetection
Apr 2019 - Jan 2023
Detecting GAN generated Images using Convolutional Neural Networks
Contributions:2 releases, 9 commits, 8 pushes in 3 years 9 months
convolutional-neural-networksgansdeep-learningcomputer-visionimage-classification
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