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EVGEN KOVALOV
Machine Learning Engineer (NLP / MLOps)

Kyiv, Ukraine | [открыть контакты](см. выше в блоке «контактная информация») | [открыть контакты](см. выше в блоке «контактная информация»)
GitHub: github.com/exEKS

SUMMARY
Machine Learning Engineer with applied experience in NLP, Computer Vision, and time series modeling. Focused
on building end-to-end ML systems including preprocessing, model training, evaluation, deployment, and
monitoring. Strong applied mathematics background and production-oriented mindset.

SKILLS
Machine Learning & Deep Learning: TensorFlow, PyTorch, Keras, CNNs, RNN, LSTM, BiLSTM, Transfer Learning,
Universal Sentence Encoder
NLP: Text preprocessing, tokenization, embeddings, sequence models
Data & Evaluation: Data pipelines, Precision, Recall, F1-score, Accuracy, MAE, RMSE, error analysis
MLOps & Backend: FastAPI, Docker, REST APIs, model serving, Prometheus, TensorBoard
Tools: Git, pytest, Streamlit

PROJECTS
SkimLit — NLP Research Paper Classification
GitHub: https://github.com/exEKS/SkimLit

Food Vision — Image Classification (TensorFlow, CNNs, Transfer Learning)
- Multi-class food image classification system
- Data augmentation and transfer learning
- Full training and evaluation pipeline

Time Series Forecasting — Bitcoin Price Prediction
- Dense, CNN, LSTM, N-BEATS models
- Temporal windowing and proper train/test splits
- Evaluation with MAE and RMSE

PyTorch Model Deployment
- REST API inference with FastAPI
- Dockerized production workflow

EDUCATION
Bachelor of Applied Mathematics — National University of Kyiv-Mohyla Academy
Bachelor of Applied Mathematics — Kyiv School of Economics

CERTIFICATIONS
Full list of certifications:
https://github.com/exEKS/CV

Advanced Deep Learning with TensorFlow Bootcamp
Complete SQL Mastery: Zero to Hero (9 hours)
Modern REST API Development with Flask & Python
AI Automation & LLM Applications: Building Intelligent Agents with n8n & APIs
Comprehensive Deep Learning Bootcamp with PyTorch
IBM | Developing AI Applications with Python and Flask (Coursera, 2025)
DeepLearning.AI & Stanford | Advanced Learning Algorithms (Coursera, 2025)
DeepLearning.AI & Stanford | Supervised Machine Learning: Regression & Classification (Coursera, 2025)