Machine Learning Engineer (MLE) - Deep Learning, NLP, Generative AI
- I build ML systems end-to-end: data -> training -> evaluation -> MLOps -> deployment.
- Core areas: Computer Vision (segmentation, detection, metric learning), NLP and LLM tooling (RAG, agents), real-time inference services.
- I care about production quality: reproducibility, CI/CD, model registry, observability, and reliable serving.
- Currently reading: "Machine Learning System Design" by Valerii Babushkin and Arseny Kravchenko.
- Programming: Python (asyncio, multiprocessing), SQL
- DL/ML: PyTorch, PyTorch Lightning, Transformers, TorchMetrics, scikit-learn, vLLM, Flash-Attention (pad-free), PyTorch Distributed (DP/TP/CP)
- Data/Storage: PostgreSQL, S3, Polars, Qdrant
- MLOps/DevOps: ClearML, DVC, LitServe, Docker, GitLab CI, GitHub Actions
- Backend/Infra: FastAPI, Kafka, Redis, ZeroMQ, Nginx, Traefik
- Telegram: https://t.me/pomelk1n
- Email: emelya.kara@yandex.ru
- GitHub: https://github.com/Pomelkin
