Bohdan Zelenskyi - Резюме FullStack Developer / ML Engineer

FullStack Developer / ML Engineer
Робочі спеціальності
4500 €
Німеччина (Штутгарт)
09-04-2026
Контактна особа: Bohdan Zelenskyi
Країна проживання: Німеччина
Вік: 22
Телефон: Показати
Паспорт ЄС
Постійна робота
Проектна робота
Робота онлайн
Досвід роботи:
Machine Learning / Computer Vision Engineer — KP MKPV KhMR Industrial & Smart Systems Projects (Official & Contract) | 2022–2025 - Situation & task: Companies needed automation for visual and document-based data processing to reduce manual work and errors. -Action: Built end-to-end ML/CV pipelines in Python: dataset prep and labeling, preprocessing and augmentation, training for object detection, OCR, face recognition, and license plate recognition. - Engineering: Developed ML services with Flask/FastAPI, integrated outputs into ERP/CRM systems, optimized inference, and improved robustness to lighting and image-quality issues. - Result: Reduced manual data processing by 60–80%, improved accuracy, and delivered production-ready solutions used in daily operations. **CRM, Data Analytics & Automation Systems — Wifi&Bed Co (Contract)** | 2023–2024 - **Situation & task:** Businesses lacked centralized analytics and scalable data-driven systems. - **Action:** Developed CRM and analytics backends using Python, Flask, and MySQL. Built data aggregation and analysis modules, optimized SQL queries, and implemented REST APIs. - Result: Improved transparency and decision-making, while reducing manual operations and technical debt.
Освіта:
National Technical University “KhPI” — BSc Computer Science (2025) MSc (in progress) - Focus: Machine Learning, Data Science, and Computer Vision - Coursework: Python, Algorithms, Data Structures, Databases, Software Engineering - Academic projects: data analysis, ML models, system design - Participation in technical and research-oriented university initiatives
Професійні та інші навички:
Special skills, - Analytical thinking and problem solving, - Data-driven decision making, - ML model evaluation and optimization, - Business requirement analysis for AI solutions, - Process automation and optimization, - Technical documentation and reporting, - Cross-functional collaboration, - User acceptance testing (UAT) for AI systems, - Programming & ML: Python, supervised/unsupervised learning, deep learning (CNN fundamentals), computer vision (object detection, OCR, face recognition), LLMs, - Frameworks & tools: scikit-learn, PyTorch, TensorFlow/Keras, OpenCV, YOLOv5, HuggingFace, Uvicorn, LangChain, - Backend / APIs: Flask, Streamlit, REST API integration, - Frontend / Web: HTML5, CSS3, Nuxt.js, Ruby, - Databases: MongoDB, MySQL, - Other: Git, Linux (Arch)
Володіння мовами:
Английский Немецкий
Додатково:
Additional training & courses (ML / AI)

- Machine Learning with Python (supervised & unsupervised learning)
- Deep Learning fundamentals (neural networks, CNNs)
- Computer Vision with OpenCV & Deep Learning
- Data Science: data analysis, feature engineering, SQL
- Model deployment & ML pipelines (Flask / FastAPI)
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