Vladislav Tretiak
Data & AI Scientist
Eindhoven, North Brabant, Netherlands
Summary
👤
Senior🎓
Top SchoolVladislav Tretiak is a Data & AI Scientist with 11 years of experience applying computer vision, NLP, and deep learning to real-world products, currently building medical image segmentation and predictive maintenance systems at Philips. He bridges research and production—designing RAG assistants for sonographers, deploying TorchScript/ONNX models, and applying MLOps best practices to scale training pipelines. Previously he developed transformer-based text classifiers, speech recognition models, and active-learning labeling tools at Huawei, and prototyped semantic search and chatbots in startup settings. Comfortable across the ML lifecycle, Vladislav combines rigorous academic training (MSc in Machine Learning and Data Analysis) with hands-on engineering in Python and PyTorch, and a knack for turning research prototypes into stakeholder-facing demos. An understated strength is his cross-domain fluency—moving seamlessly between CV, NLP, and systems work to deliver practical healthcare impact.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Machine Learning and Data Analysis, Master's degree, Machine Learning and Data Analysis at ITMO University
English, Russian
Stackoverflow
11reputation
9kreached
1answer
0questions
Github Skills (83)
transformers10
python10
image-processing10
imagenet10
google-translate10
computer-vision10
semantic-segmentation10
image-segmentation10
google-translate-api10
googletrans10
pytorch10
machine-learning10
segmentation10
segformer10
seaborn9
Programming languages (5)
Github contributions (5)
loopdigga96/funda-bot
Nov 2022 - Dec 2024
Contributions:5 pushes, 1 branch in 2 years 1 month
loopdigga96/algorithms-stepik
Jul 2019 - Dec 2019
Contributions:25 pushes, 1 branch in 5 months
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