Amil Khan

Amil Khan is a dedicated PhD student in Electrical and Computer Engineering at UCSB with a strong focus on large-scale image and video processing software systems.

With over 5 years of experience in building production-level software in computer vision and machine learning, along with 3+ years in management, Amil brings a wealth of expertise to his research.

Prior to pursuing his PhD, Amil served as the Project Lead for BisQue, an open-source NSF-funded ML platform emphasizing on storing terabytes of imaging data, deploying ML microservices, and enabling up to 5D visualization.

His work revolves around developing novel computer vision algorithms, creating large web-scale distributed systems for Machine Learning, deploying ML microservices with low-latency requirements, expert debugging, and fostering a positive work environment.

Amil Khan's skill set includes expertise in Machine Learning, Computer Vision, PyTorch, TensorFlow, 3D GANs, Large Language Models (LLM), 3D UNET for segmentation, and Large Vision Models.

He is proficient in Distributed Systems, with experience in Kubernetes at a production level and scale, microservices, operators, distributed storage (Minio), stream processing (Kafka, NATS), and job scheduling (Argo).

Throughout his academic and professional journey, Amil has held various roles such as ML Research Engineer, Teaching Assistant, Software Engineering Manager, and Project Management Intern at reputable institutions and organizations.

Amil Khan's diverse background encompasses a Bachelor's degree in Applied Statistics with an English Minor, a Master of Science in Electrical and Computer Engineering, and his ongoing pursuit of a Doctor of Philosophy in the same field at UC Santa Barbara.

For inquiries regarding Amil's impressive work and projects, feel free to reach out for further information.