Design, operate, and automate reliable infrastructure for large-scale AI training and inference. Own networking, compute, storage, GPU/server configuration, and operational tooling. Build monitoring, alerting, runbooks, incident response, capacity planning, provisioning automation, and collaborate with ML and platform teams to improve performance and reliability.

Develop and deploy AI solutions for enterprise clients, focusing on large language models and agentic systems integration while ensuring quality, scalability, and security.