Vineet Suryan is a Senior Software Engineer specializing in Machine Learning with eight years of experience building and optimizing deep learning inference systems. Currently at Collabora after progressive ML engineering roles at Guise.AI and startups, he focuses on turning research models into efficient production deployments. He has hands-on expertise integrating models into TensorRT, having contributed implementations for DenseNet121, Inceptionv4, and Scaled YOLOv4 to a well-known open-source repo. Based in New Delhi, he combines systems-level performance tuning with practical software engineering to deliver low-latency ML pipelines. Known for addressing tricky memory and integration issues, he brings both breadth across model families and depth in inference optimization. He holds a BTech in Computer Science from The LNM Institute of Information Technology.
7 years of coding experience
7 years of employment as a software developer
BTech - Bachelor of Technology Computer Science, BTech - Bachelor of Technology Computer Science at The LNM Institute of Information Technology
Implementation of popular deep learning networks with TensorRT network definition API
Role in this project:
ML Engineer
Contributions:6 commits, 7 PRs, 24 comments in 6 months
Contributions summary:Vineet primarily contributed to implementing and integrating various deep learning networks within the TensorRT framework. They added support for new models like DenseNet121, Inceptionv4, and Scaled YOLOv4, demonstrating a focus on expanding the repository's network coverage. Their work involved modifying code, including adapting existing scripts, defining layers, and addressing typos and memory issues. The user demonstrated proficiency in integrating new models into TensorRT.
Contributions:18 releases, 33 reviews, 127 PRs in 1 year 11 months
dictationobsopenaitensorrttensorrt-llm
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Vineet Suryan - Senior Software Engineer Machine Learning at Collabora