Anzhella Pankratova is a Senior Generative AI Engineer with 5+ years of deep learning experience building production-ready generative pipelines for images and video from Bangkok. She has driven end-to-end systems for photorealistic human generation, garment transfer, and AI characters—combining diffusion, flow-matching and ControlNet/LoRA finetuning to deliver controllable identity and pose-aware results. At Intel/OpenVINO she contributed to the Open Model Zoo, improving video demo robustness and asynchronous inference flows, and later led product-focused generative tooling at OpenCV.ai and startups to automate fashion try-on and cinematic AI storytelling. Comfortable moving between research-level model finetuning and pragmatic engineering, she often architects multi-stage ComfyUI workflows that stitch pose, face, and garment control into reliable production pipelines. Notably, her background blends applied math and CS with a track record of shipping both core model improvements and practical dataset augmentation tools.
5 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Applied Mathematics and Information Science, Computer Science, Bachelor's degree, Applied Mathematics and Information Science, Computer Science at Higher School of Economics
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Role in this project:
Back-end Developer
Contributions:455 reviews, 298 commits, 84 PRs in 1 year 4 months
Contributions summary:Anzhella primarily worked on the `action_recognition` demo, making changes focused on improving video handling and fixing potential errors. The commits show the addition of error handling for opening video files within the demo and refactoring the video-opening and reading logic in the DataStep class. The commits indicate the user's work on bug fixes, and refactoring the code.
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Anzhella Pankratova - Senior Generative AI Engineer