My Background
A computer vision enthusiast who spends too much time answering questions on the internet.
My Experience
I’ve worked in the video analytics industry for over two years, building and optimizing computer vision models and pipelines for production.
Community Moderator @ Ultralytics (Aug 2024 - Present)
- Responded to 1.8K+ issues on GitHub, and addressed hundreds of other queries from the community on Discord, Reddit and Forums.
- Contributed 116+ PRs to address bugs, fix documentation issues, and improve overall user experience.
Algorithm Engineer (Computer Vision) @ Graymatics (Sep 2023 - Aug 2024)
- Implemented batching and motion-based frame skipping in DeepStream to optimize inference server’s GPU utilization and memory usage, improving FPS for real-time analytics involving 140+ cameras.
- Created a lightweight skeleton-based action recognition architecture, achieving ~90% accuracy at 500+ FPS.
- Resolved a critical bug affecting server stability and improved multi-GPU load distribution to achieve an inference throughput of upto 300 streams per server.
Computer Vision Consultant @ Innotec Solutions (Jul 2023 - Aug 2023)
- Provided expert advice on model training and deployment queries, enabling them to build in-house video analytics solutions.
Computer Vision Intern @ Tapway (Jan 2022 - Sep 2022)
- Developed an efficient inference pipeline to detect and track anomalous objects with ~90% accuracy.
- Implemented intelligent runtime ROI adjustment to tackle continuous variations in ROI, improving counting accuracy.
- Reduced resource starvation and latency spikes in multi-stream inference by optimizing the number of threads spawned by each process.
- Fixed a major memory leak in the inference pipeline that was causing noticeable degradation in performance.