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Hamid Fazli

@hamidfazli

Software and machine learning engineer at Camcloud, scaling a GPU video analytics platform to 360 concurrent streams per node.

Canada

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At Camcloud, I own production inference end to end. I led the migration from AWS Rekognition to self-hosted DETR models on NVIDIA Triton, cutting inference costs 7× while increasing throughput, and later moved production image AI to RF-DETR for about 10× higher throughput with better detection accuracy.

I built Camcloud’s 24/7 video analytics platform from scratch on NVIDIA DeepStream, scaling it to 360 concurrent streams on one GPU node. I also built its event-driven inference service, with model versioning, promotion, and monitoring.

Earlier, at Mahsan, I re-architected backend services for active-active high availability. At the University of Windsor, I introduced FedShare, a secure aggregation algorithm for privacy-preserving federated learning; my work also includes research on blockchain and federated learning.

Experience

Work history, roles, and key accomplishments

Current

Software/ML Engineer

Current

Camcloud

Feb 2023 - Present (3 years 8 months)

Owns production inference end to end, including an event-driven SQS-fed inference service on NVIDIA Triton, model versioning and promotion, and a GPU video analytics platform scaled to 360 concurrent streams per node. Led migration from AWS Rekognition to self-hosted DETR models, cutting inference cost 7x while increasing throughput.

Graduate Research and Teaching Assistant

University of Windsor

Sep 2021 - Jan 2023 (1 year 4 months)

Introduced FedShare, a secure aggregation algorithm for privacy-preserving federated learning based on additive secret sharing (ACM IDEAS 2023; paper, code), with 18 citations. Taught and supported five graduate and undergraduate courses: tutorials, Q&A sessions, and marking of assignments, projects and exams.

Python TensorFlow Keras scikit learn NumPy Pandas Hugging Face Flask Solidity

ML and Blockchain Internship

Linux Foundation

Jun 2022 - Nov 2022 (5 months)

Part-time project internship during M.Sc. Developed and researched an open-source federated learning system with privacy preservation on a permissioned blockchain with decentralized identity management.

Python TensorFlow Keras Hyperledger Fabric Hyperledger Aries Hyperledger Indy Java Spring Boot Docker

Gramine Software Engineer

Mahsan

Jul 2019 - Aug 2021 (2 years 1 month)

Backend engineer on two enterprise security products, a Privileged Access Management (PAM) platform and a large-scale network monitoring solution, in a Scrum team. Re-architected the backend from active-passive to active-active high availability.

Java Spring Boot Spring Security Spring Data JPA Hibernate PostgreSQL Elasticsearch Redis Kafka Docker Jenkins Nginx HAProxy Keepalived GlusterFS

Junior Software Developer

MTYN Ltd.

Aug 2018 - Jul 2019 (11 months)

Backend developer in a Scrum team on Beroozresan, an online retail platform: built Java/Spring REST APIs for the driver Android app and operator web app, working directly with stakeholders on requirements.

Java Spring Framework REST APIs Android Scrum

Education

Degrees, certifications, and relevant coursework

University of Windsor

Master of Science, Computer Science

2021 - 2023

Grade: 91/100

Activities and societies: Research Assistant: Privacy-Preserving Machine Learning, Dr. Dima Alhadidi; Graduate Teaching Assistant: Internship Project I (Fall 2022); Internet Applications and Distributed Systems (Summer 2022); Introduction to Algorithms and Programming I (Winter 2022); Network Security (Fall 2021); Design and Analysis of Computer Algorithms (Fall 2021)

Master of Science in Computer Science with AI specialization, GPA 91/100. Research assistant in privacy-preserving machine learning and teaching assistant for multiple courses.

University of Tehran

Bachelor of Science, Computer Engineering

2016 - 2020

Grade: 3.66/4.0

Activities and societies: Teaching Assistant: Design and Analysis of Algorithms (Winter 2020); Principles of Computer and Programming (Fall 2019, Winter 2018); Data Structures (Winter 2019, Fall 2017); Advanced Programming (Fall 2018); Workshop Lecturer: Up and Running with Spring Framework (Winter 2019); Up and Running with Docker (Fall 2019)

Bachelor of Science in Computer Engineering, GPA 3.66/4.0. Teaching assistant for multiple courses and workshop lecturer on Spring Framework and Docker.