Student focused on building scalable systems for large language models, with interests in ML systems, AI infrastructure, model architecture, and AI agents.
I study distributed systems, cloud computing, machine learning, and agentic AI, with an emphasis on reliable, efficient, and scalable AI systems. My projects span distributed system design, cloud platforms, DevOps, data pipelines, model training workflows, serving setups, and LLM applications.
I’m especially interested in scaling training and inference, optimizing performance, designing efficient model architectures, building robust AI agents, and improving end-to-end ML pipelines.
