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vamshi UserVU
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vamshi User

@vamshiuser1

I build production GenAI, RAG, and real-time ML systems for fintech products.

United States
Message

What I'm looking for

I'm looking to build production GenAI and machine learning systems where rigorous evaluation, responsible AI, real-time performance, and measurable customer impact matter.

At Intuit, I build generative AI experiences for Intuit Assist across TurboTax and QuickBooks, serving products used by approximately 100 million customers. My RAG pipelines, custom financial LLMs, model routing, and safety guardrails helped deflect 40% of support contacts and improve task completion by 25%.

I build reliable AI systems end to end: evaluation harnesses, retrieval grounding, responsible-AI guardrails, real-time feature platforms, and high-throughput inference. My work has reduced hallucinations by 35%, raised answer accuracy to 92%, and sustained sub-100ms p99 performance across 730M+ annual AI-driven interactions.

Previously at Paytm, I built transaction intelligence, fraud-risk, and income-verification models processing more than 150M transaction records daily. I improved merchant and category classification accuracy by 18% and reduced false-positive risk decisions by 24%.

I enjoy turning difficult financial-domain problems into production ML and GenAI products using Python, AWS, distributed streaming systems, and rigorous evaluation.

Experience

Work history, roles, and key accomplishments

Intuit logoIN
Current

Machine Learning Engineer

Jun 2023 - Present (3 years 2 months)

Developed generative AI experiences for Intuit Assist, including RAG pipelines and custom LLM applications, improving task completion and reducing support contacts. Built evaluation harnesses and optimized inference serving to handle millions of real-time predictions.

Education

Degrees, certifications, and relevant coursework

Sreenidhi Institute of Science and Technology logoST

Sreenidhi Institute of Science and Technology

Bachelor of Technology, Computer Science

2018 - 2022

Grade: 9.3/10.0

Pursued a Bachelor of Technology in Computer Science, achieving a GPA of 9.3/10.0.

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