Saeid Masoomi
MLops Engineer at Stealth Mode Startup Company
United Arab Emirates
Summary
👤
Senior🎓
Top SchoolSaeid Masoomi is an MLops and computer vision engineer with eight years of professional experience and a decade-long hands-on background in C++, GPU programming, and AI systems design. He has built and optimized large-scale, high-throughput solutions—ranging from national fingerprint and multi-stream face-recognition engines to real-time vehicle counting and OCR pipelines—often squeezing dramatic performance gains from CUDA, TensorRT and embedded GPUs. Comfortable across the stack, Saeid blends low-level optimization (HIP/CUDA/OpenCL) with production deployment tools like Triton, TorchScript and ClearML, and crafts responsive UIs using Qt/QML for real-time monitoring. His work emphasizes privacy-aware architectures, energy-efficient inference on Jetson/Xavier devices, and scalable stream processing that supports dozens of cameras per node. Notably, he engineered a fingerprint search engine that scaled to tens of millions of matches per second and repeatedly boosted accuracy and throughput in production-grade biometrics and traffic systems. Outside engineering he studies wellness and travel, reflecting a practical curiosity that drives both technical creativity and user-centered design.
8 years of coding experience
11 years of employment as a software developer
Bachelor of Electrical Engineering, Machine Vision, Bachelor of Electrical Engineering, Machine Vision at Bu-Ali Sina University
English
Stackoverflow
1,724reputation
102kreached
52answers
18questions
opencv
top-5%
Github Skills (198)
opencv10
python10
image-processing10
windows10
deep-learning10
gpu10
cpp10
yolov510
shiny10
linux10
numpy10
darknet10
neural-network10
object-detection10
computer-vision10
Programming languages (9)
Github contributions (5)
robosina/vein_finder_segmentation
May 2019 - May 2019
Contributions:38 commits in 9 days
robosina/robosina
May 2021 - Dec 2023
Contributions:6 pushes, 1 branch in 2 years 7 months
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