AI Engineer
AI Engineer — Generative AI, LLMs, RAG Pipelines, Agentic Frameworks
AI Engineer with hands-on experience building and deploying generative AI solutions using LLMs, RAG pipelines, and agentic frameworks. Currently pursuing Masters in AI at FAU Erlangen-Nürnberg. Published researcher in LLM architecture with strong Python and PyTorch background.
Education
Masters in Artificial Intelligence
B.Tech in Computer Science & Engineering
Experience
AI Developer
GenAI Pipeline Development: Designed and deployed a production RAG system using LangChain, vector databases, Gemini and Vertex AI to automate resolution of queries across 300+ heterogeneous data sources.
Agentic Workflow Automation: Built LangGraph-based agents for automated data classification and error analysis; iterated on model behaviour and prompt logic to improve output reliability.
Code Quality & Maintenance: Maintained production-grade Python codebases, including debugging, refactoring, and writing documentation to support ongoing development and knowledge sharing.
AI Intern
Developed and deployed LLM-based agents in Python for international clients; participated in code review, testing, and debugging throughout the development cycle.
Designed structured test suites to validate AI model outputs across edge cases; documented results and failure modes to support iterative improvement.
Research & Publications
Technical Skills
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FA
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