Mansur Tumambaev

I am a computer vision and MLOps engineer specializing in creating reliable artificial intelligence solutions based on microservices. My experience includes the full development cycle: from creating user data and annotating to training YOLO models, fine-tuning text recognition and deploying scalable services using Docker. I am passionate about model compression, quantization (PTQ), and faster inference using ONNX Runtime.

I am looking for career opportunities in production-ready AI/ML engineering, networking with experienced industry professionals, and exploring collaborations on high-load computer vision projects. I also want to stay updated on the latest local DSML events and research.

I can share practical insights into deploying ML models into real-world production environments, structuring FastAPI and Docker microservices, and optimizing inference. I am also happy to contribute to open-source initiatives, share hands-on experience in synthetic data generation, and participate in technical discussions or meetups.