Machine Learning Engineer at Red Hat
7+ years building production AI systems — from LLM inference optimization and distributed training to diffusion models shipped on Samsung Galaxy devices.
I am a Machine Learning Engineer at Red Hat with 7+ years of experience developing cutting-edge AI solutions, from mobile camera systems to large-scale model training infrastructure.
At Red Hat, I work on open-source AI infrastructure and large-scale model systems, contributing to the PyTorch ecosystem, developing scalable training workflows using Training Hub, and optimizing high-throughput inference with vLLM for large language models.
Passionate about both research and implementation, I've authored patents and conference papers while maintaining an active profile in competitive programming with 1800+ DSA problems solved.
7+ years of building production-grade AI systems
1900+ problems solved across platforms
2014 - 2018
I'm always open to discussing new opportunities and collaborations.