Jay
LLM Engineer
Bengaluru, India · UTC+5:30 · 13 years of experience
Jay focuses on measurable model behavior, reliable retrieval, and production evaluation.
Request a shortlistWhy this profile fits
Evaluation before optimization
Defines datasets, graders, and regression checks so model changes are measured against real failure cases.
Reliable retrieval and tool use
Improves grounding, structured outputs, tool permissions, and recovery behavior for production workflows.
Cost and latency control
Treats task success, response time, and model spend as one production system rather than separate concerns.
Relevant toolkit
Python
LangGraph
Claude API
OpenAI GPT API
PostgreSQLDelivery evidence
Selected work
Groundedness Evaluation Platform
B2B support-automation SaaSDesigned and shipped a groundedness and answer-correctness evaluation platform built from real production failure cases. The suite scores faithfulness, citation validity, and retrieval recall on every prompt and index change, and became the release gate that took the flagship assistant from 71% to 94% faithful answers.
Hybrid RAG for Legal Document Search
Legal and compliance technologyRebuilt a citation-heavy legal search assistant using hybrid dense-plus-lexical retrieval with cross-encoder reranking. Tuned semantic chunking per document type and added groundedness checks, raising recall@5 to 91% and cutting unsupported citations by over 80% across a corpus of 2.3M clauses.
Relevant experience
Career timeline
Lead LLM Engineer
2022–PresentAI product studio (enterprise RAG) · Bengaluru, India (Remote)
- Led a RAG re-architecture for an enterprise support assistant, lifting answer groundedness from 71% to 94% and cutting cost per resolved query by 38%.
Lead Product Manager
Jan 2025–PresentViitorCloud Technologies · On-site
- Product Manager for two AI-powered SaaS products at ViitorCloud Technologies driving roadmap, prioritization, and end-to-end delivery alongside my Tech Lead responsibilities.
Senior Software Engineer
May 2021–PresentViitorCloud Technologies · Bengaluru, India
- Built learning-to-rank models (LambdaMART) that improved top-3 result relevance by 19% across enterprise search deployments.
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Skill depth
Show experience in context.
Relevant experience by skill
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Languages
Frameworks
Libraries/APIs
Tools
Paradigms
Platforms
Storage
Other
Education
Formal background
Bachelor of Technology (B.Tech), Computer Science and Engineering
National Institute of Technology, Tiruchirappalli · 2009–2013 · First Class with Distinction
Executive Post Graduate Program, Machine Learning and Artificial Intelligence
International Institute of Information Technology, Bangalore · 2017–2018
Credentials
Certifications
NVIDIA-Certified Associate: Generative AI LLMs
NVIDIA · 2023 · Certified
AWS Certified Machine Learning Engineer – Associate
Amazon Web Services · 2022 · Certified
Communication
Languages
English
Fluent
Tamil
Native
Hindi
Professional
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