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Ramakrishna karnatiRK
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Ramakrishna karnati

@ramakrishnakarnati

Principal AI Engineer building production GenAI, RAG, and agentic systems that ship.

India
Message

What I'm looking for

I want to build production-grade GenAI/RAG and multi-agent systems on Azure—focused on accuracy, evaluation/observability, and cost/compliance (including fairness). I value teams where I can mentor and ship measurable outcomes end-to-end.

I’m a Principal AI Engineer with 12+ years shipping production systems and 3+ years owning Generative AI and LLM products end-to-end. I design agentic RAG architectures from stakeholder discovery through Azure deployment, turning prototypes into reliable, measurable customer solutions.

Across healthcare, consumer travel, and banking/FinTech, I’ve improved retrieval accuracy by 30–40% and reduced response latency by ~25%. In regulated settings, I delivered FCA-compliant multi-agent pipelines with guaranteed compliance gates and demographic fairness evaluation, including deterministic compliance routing and audit-ready APIs.

I’m also hands-on with evaluation and observability—RAGAS for continuous quality scoring and Arize Phoenix for span-level visibility into retrieval, hallucination risk, tool calls, and cost. I mentor engineers across AI, backend, and mobile, and I’m driven by building systems that are accurate, compliant, and cost-optimized in production.

Experience

Work history, roles, and key accomplishments

ML
Current

Principal AI Engineer

Motivity Labs

Sep 2022 - Present (3 years 9 months)

Architected and shipped production RAG LLM assistants (medical and travel) on Azure, improving response accuracy 30–40% and reducing end-to-end LLM latency ~25%; delivered evaluation and observability with RAGAS and Arize Phoenix to prevent retrieval regressions. Built consumer-facing assistants handling 500+ daily prompts, improved travel retrieval accuracy to 80%, and reduced inference costs ~40

TL

Senior Software Engineer

Trelleborg India Pvt Ltd

Dec 2016 - Aug 2022 (5 years 8 months)

Developed a mobile banking and payments app with REST integrations for money transfers and utility recharges, including offline SQLite persistence and async transaction status updates to support low-connectivity usage. Built an industrial iOS app using 200Hz accelerometer capture for vibration signature extraction and product recommendations; contributed to enterprise messaging features using encr

Education

Degrees, certifications, and relevant coursework

Jawaharlal Nehru Technological University, Kakinada logoJK

Jawaharlal Nehru Technological University, Kakinada

Bachelor of Science, Computer Science

Bachelor of Science in Computer Science from JNTU Kakinada.

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