Oleksii Mosolab
AI ML Lead
Poland
Summary
👤
Senior🎓
Top SchoolOleksii Mosolab is an AI/ML lead with 11+ years of engineering experience, specializing in deploying multimodal intelligence across edge and cloud platforms from Nvidia Jetson and TI Jacinto to AWS, GCP and Azure. He combines deep embedded systems and DSP roots—with hands-on work optimizing perception on high-performance SoCs—with modern LLM-based and generative AI integrations, spanning vision, audio, NLP and point-cloud pipelines. Oleksii has led teams, presales PoCs and technical centers of excellence, frequently translating research-grade algorithms into production-ready deployments for automotive, surveillance, sports analytics, document parsing and virtual try-on systems. Comfortable from low-level C/C++ DSP tuning to Python ML stacks and infrastructure-as-code, he bridges firmware, model optimization and scalable cloud orchestration. A PhD-trained engineer, he brings rigorous measurement and validation discipline to real-world ML systems and a track record of shipping solutions on constrained hardware that few cloud-first practitioners can claim.
10 years of coding experience
12 years of employment as a software developer
Igor Sikorsky Kyiv Polytechnic Institute
English, Ukrainian, German
Github Skills (30)
calculator9
computer-vision8
android8
bounding8
video-processing7
audio-processing7
machine-learning7
inference7
deep-learning7
pitch7
streaming7
stream-processing6
neumorphism6
perception6
pipeline-framework6
Programming languages (4)
Github contributions (5)
mosolab/DIP
Oct 2019 - Sep 2020
Materials for Digital Image Processing course
Contributions:10 commits, 2 PRs, 50 pushes in 11 months
image-processingpythoncomputer-visiondigital-image-processing
mosolab/upa
Jun 2015 - Dec 2016
Contributions:124 pushes, 1 branch in 1 year 5 months
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