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AI Engineer with 3+ years in LLM, RAG, and multi-agent systems
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Assessing your cultural and operational fit
Generative AI Engineer with 3+ years delivering production LLM and agentic systems using LangChain, LangGraph, GPT models, and Claude. Specializes in multi-agent orchestration, RAG pipelines, and autonomous workflow automation across enterprise QA and financial analytics. Achieved 65% reduction in manual QA effort via LLM-integrated CI/CD pipelines.
Vel Tech R&D Institute, Chennai
B.Tech · ECE
August 1, 2018 – June 30, 2022
Wells Fargo International Solutions, India
Software Engineer - Generative AI
August 1, 2023 – Present
India
Wells Fargo International Solutions, India
Program Associate — AI & Analytics
August 1, 2022 – August 1, 2023
India
LangChain for LLM Application Development
DeepLearning.AI
January 1, 2025 – Present
Build LLM Apps with LangChain.js
DeepLearning.AI
January 1, 2025 – Present
Azure AI Fundamentals (AI-900)
Microsoft
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's experience at Wells Fargo International Solutions, India, in roles focused on Generative AI and AI & Analytics, aligns well with a target role of an AI Engineer. The projects demonstrate a proactive approach to leveraging AI for business impact, which suggests a good cultural fit for an innovative and results-driven environment. The breadth of skills across LLMs, agentic frameworks, RAG, and cloud infrastructure indicates adaptability and a continuous learning mindset.
Soft Skills & Operational Fit
The candidate's resume highlights strong problem-solving skills through the successful implementation of complex AI solutions. The achievements listed indicate a results-oriented approach and an ability to deliver significant operational improvements. The experience in architecting and deploying microservices suggests good operational awareness and system thinking.