Building real-time infrastructure for multimodal and LLM inference systems.

Collaborated as a Full-Stack Software Engineer Intern on the development of an advanced WebRTC-based video conferencing solution.

Responsible for full-stack development, including designing and implementing both front-end interfaces and back-end systems. Worked on optimizing user experience, managing databases, and ensuring seamless integration between client-side and server-side components.

• Explored and evaluated cutting-edge computer vision architectures based on machine learning and deep learning for specific task.

• Leveraged centralized High Performance Computing (HPC) clusters for large-scale data set training and testing of models, conducted comparative analysis of results.