Revolutionizing virtual clothing experiences with state-of-the-art generative AI technologies. Enabling users to explore myriad styles, discover ideal outfits, and express creatively on social media platforms.

Founded and managed a 12-member R&D team. Introduced real-time face style transfer filters for iOS and Android, using StyleGAN2 and Stable Diffusion. Streamlined effect development and launched approximately 20 distinct effects. Leveraged GPT for song lyrics generation and integrated models into the Triton framework.

Worked on a B2B credit scoring service serving ~100 million unique clients. Added specific functionality for a major client using a tech stack of Python, Hadoop, Gitlab CI/CD, Luigi, Docker, uWSGI, etc. Also worked with lightgbm and contributed to side projects.

Implemented Bayesian optimization leading to a new world-class physical result. Engaged in reading and writing research papers, supervised students, and applied skills in Python, Bayesian ML, lasers, and FPGA.