Sai Gnaneshwar
Gen AI / AI Engineer @ AT&T
About
Senior GenAI Engineer with a decade-plus foundation in distributed systems, data platforms, and applied AI/ML, now focused on production-scale Generative AI systems. I work hands-on across retrieval-augmented generation, stateful orchestration, tool routing, and evaluation, integrating LLMs with enterprise data and workflows under real constraints like latency, cost, and compliance. I’ve delivered GenAI platforms used by large internal teams in telecom, banking, and media, emphasizing reliability, observability, and governance. My background spans backend services, data pipelines, and user-facing applications, allowing me to own GenAI systems end-to-end, from ingestion and retrieval to building React/Vue.js frontends, API services, and deployment and monitoring on Kubernetes across AWS, Azure, and GCP. I’m most interested in problems where engineering rigor matters as much as model capability.
United States
San Ramon
Banking
Large Language Model Operations (LLMOps), Artificial Intelligence (AI), Apache Kafka, Kubernetes, Docker , GitHub, Scrum, Jira, Node Js, Agile Methodologies, Dockers, Jenkins, Amazon Web Services (AWS), Apache, Maven, Windows, Java, Microservices, JavaScript, Communication
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