Generative AI Developer - LLM Systems
Building scalable data pipelines and AI-enabled data platforms.
Generative AI Developer with 6+ years of experience building scalable data pipelines and AI-enabled data platforms using Python, SQL, and AWS. Hands-on experience implementing RAG-based systems and multi-agent workflows to improve knowledge access and operational efficiency.
RAG & LLM Systems
Multi-Agent Workflows
AWS Data Platforms
6+
Years of engineering experience
60%
Reduction in issue resolution time at Verizon
70%
Improvement in large file read performance at MathWorks
Current focus
Generative AI & LLM Systems
AWS Bedrock
RAG Pipelines
Multi-Agent Systems
Building retrieval-augmented generation systems and multi-agent workflows that enable contextual knowledge access and scalable automation across enterprise environments.
Cloud
AWS (Bedrock, Kendra, S3, Lambda)
Languages
Python, SQL, C++, Bash
Data
ETL, Data Pipelines, PostgreSQL
Tools
Docker, Git, Pandas, NumPy
Professional Summary
Pragmatic builder of AI products end-to-end.
Technical Range
Tools to invent, iterate, and deploy.
AI Engineering Projects
Multi-agent, retrieval-first, and production-ready.
Professional Experience
Shipping AI features with measurable impact.
Academic
Learning and research.
Publications
Research with production perspective.
Certifications
Validating skills formally.
Contact