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I am an AI engineer and Data Scientist. I strive to advance practical AI solutions through scalable methods that balance performance and computational efficiency.
In addition to computer vision (CV), I have a strong interest in natural language processing (NLP) and text-to-speech (TTS), exploring innovative approaches to integrate these fields effectively.
My primary areas of focus
- Develop lightweight models for resource-constrained environments
- Conduct research on image retrieval
- Explore self-supervised learning methods
- Solve problems in data-scarce scenarios with few-shot and zero-shot learning techniques
- Work with GLIGEN and ControlNet for advanced generative tasks
- Work with GAN and Diffusion-based clothing synthesis models
