Bohdan Zelenskyi - Резюме FullStack Developer / ML Engineer

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.

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

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, C++, PHP, Java, JavaScript, TypeScript; supervised/unsupervised learning; deep learning (CNN fundamentals); computer vision (object detection, OCR, face recognition); LLMs - Frameworks & tools: scikit-learn, PyTorch, TensorFlow/Keras, NumPy, Pandas, OpenCV, YOLOv5, HuggingFace, Uvicorn, LangChain - Backend / APIs: Flask, FastAPI, PHP, Streamlit; REST API integration - Frontend / Web: HTML5, CSS3, React, Next.js, Nuxt.js, Tailwind CSS, Ruby - Databases: MongoDB, MySQL - Other: Git, GitHub, Linux (Arch), Docker

Английский Немецкий

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)