ML Engineer focused on Computer Vision, Production ML, and MLOps
I build and deploy ML systems that actually work in production — from data pipelines to high-performance inference and monitoring.
- Computer Vision: detection, segmentation, OCR, video pipelines
- Production ML: model optimization, deployment, scaling
- MLOps: CI/CD, monitoring, experiment tracking
- NLP: RAG pipelines, LLM-based systems
- End-to-end ML systems: from raw data to production
ML / DL
PyTorch Lightning Transformers MMDetection Detectron2 OpenCV
Deployment
ONNX TensorRT Triton Inference Server FastAPI Docker
MLOps & Infra
MLflow ClearML GitLab CI/CD
Prometheus Grafana EvidentlyAI
PostgreSQL Redis MinIO Linux
NLP / RAG
LangChain Milvus Ollama
Languages
Python SQL Bash Go
- Turning ML models into production systems
- Making inference fast, efficient, and scalable
- Building reliable ML pipelines
- Monitoring models in real-world conditions (data drift, quality)
- LLM inference optimization (vLLM, batching, KV-cache)
- Distributed ML systems
- Real-time CV pipelines
- ML competitions
- LinkedIn: https://www.linkedin.com/in/aidar-siraev-b417a6194/
- Email: aidarsiraev12@gmail.com
- Telegram: @wntr_mute
- Grinding ML competitions 🧠🔥
- Chasing top leaderboard spots
- Breaking models → fixing → repeating
- #road-to-kaggle-grandmaster