Dzmitry Sauchuk
Summary
Dynamic technology leader with over 6+ years of experience in machine learning and computer vision. Proven ability to transform complex business challenges into actionable technical solutions, leveraging deep technical expertise combined with organizational skills. Adept at mentoring emerging talent and fostering collaborative environments to achieve shared goals. Committed to advancing technological capabilities and delivering impactful results in fast-paced settings.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Head of AI
Glue Intangibles
05.2024 - 07.2024
- Defined technical strategy and oversaw the design, development and deployment of LLM-based system to analyze large scale patent & customer research data, enabling competitor detection, insights extraction, and management of intangible assets
- Negotiated and aligned with potential customers to translate business problems into project specifications, ensuring that delivered AI/ML solutions met domain-specific requirements in legal/research/patent landscapes.
Lead Computer Vision Engineer
KoronaPay Europe
08.2022 - 05.2024
- Trained and optimized models across all stages of the complex document recognition pipeline (classification, object detection, semantic segmentation, OCR), achieving high accuracy across 100+ document types.
- Designed and deployed end-to-end computer vision pipelines, covering data processing, model training, evaluation, deployment, and monitoring.
- Developed unsupervised synthetic data generation methods to mitigate data scarcity and improve model robustness.
- Built and managed large-scale image datasets, including storage, versioning, and curation for reproducible experimentation and production reliability.
- Carried out extensive refactoring of a complex computer vision pipeline, improving throughput and latency while sustaining high recognition accuracy.
- Led and mentored a team of 4 CV engineers: hiring, onboarding, coaching, task distribution, and establishing workflows to improve team productivity.
- Coordinated with stakeholders and cross-functional teams to translate business requirements into scalable technical solutions and streamline inter-team collaboration.
Computer Vision Engineer
ITechArt Group
01.2019 - 08.2022
- Implemented and brought into production end-to-end SOTA computer vision pipelines for healthcare (surgical support) and telecom industries, automating visual recognition and operations workflows.
- Trained models for image & video tasks including classification, object detection, semantic segmentation, instance segmentation, and developed specialized multi-stage pipelines (including point cloud analysis) to accurately measure and detect objects from diverse visual modalities.
- Performed extensive data work: curated labeling, performed EDA, preprocessed large image / video / medical datasets; developed domain-specific augmentations and synthetic texture generation to overcome data limitations.
- Deployed CV models integrated with complex backend services for web platforms; ensured system durability, reliability, and performance in production environments.
- Translated business / customer requirements into precise technical specifications; directly communicated with product owners and stakeholders to align technical solutions with domain-specific needs.
- Mentored and guided junior engineers: oversaw their professional growth, provided technical guidance, and helped them advance in their careers.
Data Engineer
GlowByte Consulting
03.2018 - 12.2018
- Created large-scale datasets from scratch and orchestrated data collection (including crawling) and preprocessing pipelines to support robust decision-automation ML system in the financial domain
Education
Bachelor of Applied Science - Computer Science
Belarusian State University
Belarus, Minsk06-2019
Skills
- Computer Vision
- PyTorch
- TensorFlow
- Neural Networks
- Python
- Object Detection
- Image Classification
- Semantic Segmentation
- Instance Segmentation
- OCR
- OpenCV
- ONNX/TorchScript
- Vision Transformers (ViT / Swin)
- Technical Leadership
- MLOps
- Model Quantization / Pruning / TensorRT
- Data Engineering
- NumPy / SciPy
- Convolutional Neural Networks (CNN)
Certification
DeepLearning.AI TensorFlow Developer
Extra-curricular Activities
- Lecturer of Computer vision courses for KoronaPay Europe (Jan, 2023-Feb, 2023)
Taught an online course on Computer vision for students with the aim of subsequent selection into the company.
Languages
Russian
Native or Bilingual
English
Professional Working
Timeline
Head of AI
Glue Intangibles
05.2024 - 07.2024
Lead Computer Vision Engineer
KoronaPay Europe
08.2022 - 05.2024
Computer Vision Engineer
ITechArt Group
01.2019 - 08.2022
Data Engineer
GlowByte Consulting
03.2018 - 12.2018
Bachelor of Applied Science - Computer Science
Belarusian State University