ML/CV Engineer | Tabular ML & Computer Vision
29 merged PRs across major ML/CV frameworks:
Bug fixes (OBB loss indexing, operator precedence), code optimizations, documentation improvements.
Junior Machine Learning Engineer @ Baker Tilly — Jan 2026 – Present
Building Atlas — automated real estate valuation platform for Kyrgyzstan.
- Fine-tuned XGBoost, LightGBM models → R² 0.70, MAPE 8%
- Used Gemini and Groq APIs for structured data extraction from listings
Data Science Intern @ Baker Tilly — Jul 2025 – Dec 2025
- Data collection, cleaning, feature engineering on 10,000+ property records
- Built scraping pipelines for real estate listings
Property price prediction models for Bishkek and Astana markets.
| Market | R² | MAE |
|---|---|---|
| Bishkek | 0.76 | $122/m² |
| Astana | 0.83 | 56K ₸/m² |
Stack: XGBoost, LightGBM, CatBoost, ResNet-50, Optuna
- Engineered 45+ features: H3 geospatial tiles, POI distances, target encoding, spatial lag
- Built CV pipeline: ResNet-50 → mean pooling → PCA on 64K property images
- Published datasets and models on Kaggle and HuggingFace (27K listings, 64K images)
ML/CV: PyTorch, YOLO, OpenCV, Albumentations, timm, segmentation-models-pytorch, scikit-learn, XGBoost, LightGBM, CatBoost
Languages: Python, C++, SQL (PostgreSQL)
Tools: Git, Optuna, SHAP, pandas, NumPy, Matplotlib
American University of Central Asia — B.S. Applied Mathematics and Informatics (Sep 2022 – May 2026)
Coursework: Neural Networks and Deep Learning, Neural Networks for NLP, Data Science and Machine Learning, Data Structures & Algorithms, Probability Theory and Statistics
- LinkedIn: linkedin.com/in/murat-raimbekov
- GitHub: github.com/raimbekovm
- Email: [email protected]
