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Rakshith User

@rakshithuser1

Message

I build production Generative AI systems that improve reliability, reduce costs, and automate enterprise workflows.

United States

Message

What I'm looking for

I'm looking to build production-grade Generative AI and machine learning systems where I can improve model reliability, security, inference cost, and deployment speed.

At AT&T, I build production RAG pipelines, fine-tuned LLMs, and agentic workflows that reduce retrieval latency, inference costs, and support-ticket handling time. I use LangChain, LangGraph, MCP, Azure OpenAI, AWS Bedrock, FastAPI, and vector databases to deliver secure, scalable AI capabilities for internal teams.

I previously built machine learning pipelines for drug discovery and clinical data workflows at Amgen, reducing manual analysis time by 40%. I also developed full-stack research tools, NLP systems for clinical and regulatory documents, and scalable biopharma data pipelines.

Through HandshakeAI, I author reproducible AI coding benchmarks, evaluation infrastructure, security hardening, and deterministic regression tests across open-source projects. I focus on evaluation-driven LLMOps, guardrails, observability, and practical systems that make AI dependable in production.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

AT&T

Aug 2025 - Present (1 year 1 month)

Built production RAG pipelines using LangChain and vector databases, reducing document retrieval latency by 60%. Fine-tuned open-source LLMs on telecom data, improving response accuracy by 35% and reducing inference costs.