Rajeev R profile photo 1 on Tal

Rajeev R

AI and Data Engineer I @ Deloitte USI | LLMOps, RAG, GenAI API

Bangalore Urban

4+ years of work experience

Deloitte USI
Dec 20223 yrs 10 mosPresent

Bengaluru, Karnataka, India

Worked on enterprise Generative AI solutions focused on agentic workflows, knowledge retrieval, and LLM evaluation. • Built AI-driven workflows for SDLC automation, including sprint planning and Jira story generation • Developed RAG-based knowledge retrieval systems and context-aware AI applications • Worked on knowledge extraction and reverse-engineering workflows from legacy repositories • Built LLM evaluation frameworks using RAGAS and FMEval to improve response quality and grounding • Integrated enterprise AI workflows with AWS Bedrock and developed APIs for AI system integration • Contributed to multi-agent orchestration workflows and enterprise AI solution design
Learn For Cause
Jun 20213 mosAug 2021

India

May 20211 moMay 2021

Bengaluru, Karnataka, India

Rajeev’s AI Stack

anthropic apis
anthropic apis
claude code
claude code
claude
claude
cursor
cursor
gemini
gemini
github copilot
github copilot

Education

Dr MGR Educational and Research Institute

Master of Science - MS, Statistics

Dr MGR Educational and Research Institute

20232 yrs2025

Bachelor of Science - BS, Statistics, Mathematics and Economics

St. Claret College, Bangalore

20193 yrs2022

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Headline

AI and Data Engineer I @ Deloitte USI | LLMOps, RAG, GenAI API

About

I am a Generative AI Engineer with 3+ years of experience building enterprise AI systems using Large Language Models (LLMs), retrieval workflows, and agentic AI architectures. At Deloitte, I have focused on designing knowledge retrieval systems, multi-agent workflows, and LLM evaluation frameworks for enterprise use cases. My work includes building knowledge extraction workflows from legacy repositories, developing reverse-engineering systems for business requirement generation, and enabling context-aware AI interactions through RAG-based approaches. I have also worked on LLMOps and AI reliability using frameworks such as RAGAS and FMEval to improve response grounding and evaluation quality. Currently, I focus on scalable AI workflows using AWS Bedrock and enterprise AI integration patterns.

Location

Bangalore Urban

AI stack

anthropic apis

claude code

claude

cursor

gemini

github copilot

Work experience

AI and Data Engineer I at Deloitte USI, Dec 2022 - Present · 3 yrs 10 mos, Bengaluru, Karnataka, India, Worked on enterprise Generative AI solutions focused on agentic workflows, knowledge retrieval, and LLM evaluation. • Built AI-driven workflows for SDLC automation, including sprint planning and Jira story generation • Developed RAG-based knowledge retrieval systems and context-aware AI applications • Worked on knowledge extraction and reverse-engineering workflows from legacy repositories • Built LLM evaluation frameworks using RAGAS and FMEval to improve response quality and grounding • Integrated enterprise AI workflows with AWS Bedrock and developed APIs for AI system integration • Contributed to multi-agent orchestration workflows and enterprise AI solution design

Project Manager at Learn For Cause, Jun 2021 - Aug 2021 · 3 mos, India

Data Miner at ACE overseas, May 2021 - May 2021 · 1 mo, Bengaluru, Karnataka, India

Education

Master of Science - MS, Statistics, Dr MGR Educational and Research Institute

Bachelor of Science - BS, Statistics, Mathematics and Economics, St. Claret College, Bangalore

Rajeev R - AI and Data Engineer I in Bangalore Urban | Tal