Development Engineer with 15 years of experience in the IT industry.
Since 2024, I’ve been pursuing a Master’s degree in Applied Mathematics and Informatics at MEPhI, specializing in Machine Learning.

A MLOps Engineer or AI Systems Developer role where I can apply my expertise in:

• End-to-end ML pipelines (data validation → model serving → monitoring),
• Deploying ML models in containerized and resource-constrained environments,
• Integrating AI into autonomous systems (drones, robotics, edge devices).

• Languages: Python, C/C++
• ML/DL: Scikit-learn, MLflow, DVC, Pandas, NumPy, Transformers (RuBERT, MathBERT)
• MLOps: CI/CD (GitHub Actions), Docker, FastAPI, Model Monitoring, Drift Detection
• Systems: Linux, Embedded Environments, Virtualization
• Other: Git, Makefile, Redis, Alembic, pytest, LaTeX

• Autonomous robotics & swarm intelligence
• MLOps for edge and embedded systems
• AI assistants
• Multimodal perception and decision-making under uncertainty

• Credit Default Prediction Pipeline
  End-to-end MLOps system with data validation (Great Expectations), feature engineering, MLflow tracking, FastAPI serving, drift detection, and full CI/CD via GitHub Actions. Fully containerized with Docker and orchestrated via docker-compose. Includes unit tests, type checks, and coverage reports.

• Stock Forecast Telegram Bot
  ML-powered bot that fetches market data, forecasts stock prices using time series models, and delivers insights via Telegram. Supports automated retraining and model versioning.

• Kaggle – ML competitions and datasets
• Stepik – Course progress and exercises

• Email: dimanb1982@gmail.com
• Telegram: @DmitiyBragin

Open to roles in Russia/CIS or remote opportunities in MLOps, AI Systems, or Robotics Engineering.