Богдан

BOHDAN
ZELENSKYI
MACHINE LEARNING / AI ENGINEER •
DATA SCIENTIST • COMPUTER VISION

CONTACT INFORMATION
Mobile [відкрити контакти](див. вище в блоці «контактна інформація»)
Work
[відкрити контакти](див. вище в блоці «контактна інформація»)
phone
E-Mail [відкрити контакти](див. вище в блоці «контактна інформація»)
Schlichtener Straße 11,
Address
Germany, Schorndorf 73614
WORK EXPERIENCE
Machine Learning / Computer Vision Engineer
KP MKPV KhMR
Industrial & Smart Systems Projects (Official & Contract) | 2022 - 2025
Situation & Task
Companies required automation of visual and document-based data processing to reduce manual work and errors.
Action
I designed and implemented end-to-end ML and Computer Vision pipelines using Python.
I prepared and labeled datasets, applied preprocessing and data augmentation, and trained models for object detection,
OCR , face and license plate recognition.
I developed backend services with Flask/FastAPI and integrated ML outputs into ERP/CRM systems.
I optimized inference performance and handled challenges related to image quality, lighting, and real-time processing.
Result
Reduced manual data processing by 60–80%, improved accuracy, and delivered production-ready ML solutions used in
daily operations.
CRM, Data Analytics & Automation Systems | 2023 – 2024
Wifi&Bed Co (Contract)
Situation & Task
Businesses lacked centralized analytics and scalable data-driven systems.
Action
I developed CRM and analytics backends using Python, Flask, and MySQL.
I implemented data aggregation and analysis modules, optimized SQL queries, and built REST APIs.
I designed architectures ready for future ML features such as prediction and segmentation.
Result
Improved data transparency and decision-making while reducing manual operations and technical debt.
SPECIAL SKILLS EDUCATION & TRAINING
Analytical Thinking & Problem Solving National Technical University “KhPI”
Data-Driven Decision Making Bachelor of Computer Science 2025/ In process
ML Model Evaluation & Optimization Master
Business Requirement Analysis for AI Solutions - Grade Point Average: High academic standing
Process Automation & Optimization - Focus on Machine Learning, Data Science, and Computer
Technical Documentation & Reporting Vision
Cross-Functional Collaboration - Coursework in Python, Algorithms, Data Structures,
User Acceptance Testing (UAT) for AI Systems Databases, and Software Engineering
- Academic projects involving data analysis, ML models, and
TECHNICAL SKILLS
system design
Programming & ML:
- Participation in technical and research-oriented university
Python (NumPy, Pandas, Scikit-learn), Machine Learning
initiatives
(Supervised / Unsupervised Learning), Deep Learning (CNN
Additional Training & Courses (ML / AI):
fundamentals), Computer Vision (Object Detection, OCR, - Machine Learning with Python (Supervised & Unsupervised
Face Recognition), LLM. Learning)
Frameworks & Tools: - Deep Learning Fundamentals (Neural Networks, CNNs)
Scikit-learn PyTorch, TensorFlow / Keras, NumPy, Pandas, - Computer Vision with OpenCV & Deep Learning
Flask, FastAPI (ML-Services & APIs), REST-API-Integration - Data Science: Data Analysis, Feature Engineering, SQL
Git, Linux (Arch) - Model Deployment & ML Pipelines (Flask / FastAPI)