Argo Saakyan is a senior Computer Vision engineer and tech lead with seven years of hands-on experience building end-to-end CV systems—from custom model architectures and training pipelines to optimized edge and server deployments. He has led teams and projects across industrial automation, document digitization, medical imaging and safety monitoring, shipping solutions that hit strict latency and size targets (e.g., 2.1ms per frame with TensorRT and sub-1MB mobile models). Author of the D-FINE-seg detection/segmentation framework, Argo combines production-grade software engineering (Docker, Triton, OpenVINO) with hardware prototyping skills—soldering, microcontrollers and physical demos—for practical robotics and factory automation. He’s a frequent speaker and writer in the CV/DL community and has experience setting up monitoring and decision engines for fraud and anomaly detection. Based in Spain, he blends research-grade experimentation with product delivery, often improving accuracy and throughput simultaneously. Notably, his background in building complete physical AI solutions gives him an uncommon ability to close the loop between sensing hardware and deployed neural networks.
8 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Law, Bachelor's degree, Law at Kutafin Moscow State Law University (MSAL)
Contributions:46 pushes, 1 branch in 2 years 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.