I am an experienced AI, ML, and computer vision engineer specializing in shipping low-latency computer-vision systems at scale for domains like ADAS, medical, biometrics, and UAV. I am passionate about optimizing edge inference and building large data pipelines to enable continuous retraining and improvements. Currently, I build hybrid Vision-LLM and GenAI pipelines to convert imagery and LiDAR data into photorealistic 3D city models. I have hands-on experience with NVIDIA Jetson devices, cloud systems, and a wide range of AI/ML frameworks, and have delivered systems with multi-million data points and sub-30 ms inference times. My background also includes biometric backends, UAV monitoring, and medical imaging innovations, supported by strong programming and system design skills.

Pavel Sirenko

I am an experienced AI, ML, and computer vision engineer specializing in shipping low-latency computer-vision systems at scale for domains like ADAS, medical, biometrics, and UAV. I am passionate about optimizing edge inference and building large data pipelines to enable continuous retraining and improvements. Currently, I build hybrid Vision-LLM and GenAI pipelines to convert imagery and LiDAR data into photorealistic 3D city models. I have hands-on experience with NVIDIA Jetson devices, cloud systems, and a wide range of AI/ML frameworks, and have delivered systems with multi-million data points and sub-30 ms inference times. My background also includes biometric backends, UAV monitoring, and medical imaging innovations, supported by strong programming and system design skills.

Available to hire

I am an experienced AI, ML, and computer vision engineer specializing in shipping low-latency computer-vision systems at scale for domains like ADAS, medical, biometrics, and UAV. I am passionate about optimizing edge inference and building large data pipelines to enable continuous retraining and improvements. Currently, I build hybrid Vision-LLM and GenAI pipelines to convert imagery and LiDAR data into photorealistic 3D city models.

I have hands-on experience with NVIDIA Jetson devices, cloud systems, and a wide range of AI/ML frameworks, and have delivered systems with multi-million data points and sub-30 ms inference times. My background also includes biometric backends, UAV monitoring, and medical imaging innovations, supported by strong programming and system design skills.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate

Work Experience

Senior Computer Vision Engineer at Voxelmaps (formerly Navmii)
June 1, 2024 - Present
Built hybrid Vision-LLM/GenAI/Gaussian Splatting pipeline converting street-level imagery and LiDAR into photorealistic 3D city models. Designed 3D point-cloud modality for VLMs improving object-instance extraction accuracy by over 100% using weak supervision. Led a cross-functional squad of 3 people.
ML Engineer (Independent contractor) at Voxelmaps (formerly Navmii)
June 1, 2024 - August 26, 2025
Architected full-stack ADAS platform with OSM integration running GPU inference on NVIDIA Jetson Orin, edge, mobile, and cloud. Built a system harvesting 200k+ images/month (31M+ total) for self-driving applications. Deployed <30 ms OCR to expand U.S. road-sign coverage 7x, integrated Stable Diffusion for license plate and person augmentation improving recall by 8 percentage points, and developed LLM-powered NER service achieving 90% F1 on address and routing parsing.
Senior ML Engineer at MTS
January 31, 2023 - August 26, 2025
Built biometric ML-powered backend supporting over 2 million users with 99.99% uptime, including liveness detection, ID matching, OCR and glare removal processing around 400k documents per month.
Computer Vision Engineer at Azoft
February 1, 2022 - August 26, 2025
Developed UAV farm monitoring system with flight control, detection, and segmentation pipelines deployed on NVIDIA Xavier and Jetson hardware.
Computer Vision Engineer at BIOTOK
June 1, 2021 - August 26, 2025
Invented the first-ever stereo X-ray algorithm to reconstruct a beating heart in 3D at 11 fps for real-time heart guidance. Optimized OpenCV and CUDA pipelines and maintained ARM-based remote X-ray controller systems.
Research Engineer (Independent contractor) at FASIE
April 1, 2020 - August 26, 2025
Developed motion-capture software to quantify gait deviations in cerebral palsy patients.

Education

PhD (ABD), Computer Science at Tomsk Polytechnic University
January 1, 2021 - January 1, 2023
MSc, Biotechnical Systems & Technologies at Tomsk Polytechnic University
January 1, 2019 - January 1, 2021
BEng, Radio Engineering at Tomsk State University of Control Systems & Radio-electronics
January 1, 2015 - January 1, 2019

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Life Sciences, Software & Internet, Telecommunications, Transportation & Logistics