Hi, I'm Aditya.
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I ship production LLM agents and RAG systems on Azure and AWS. So skip the résumé. Hit the mic and ask the agent anything. It answers in my words.
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About
I build LLM agents and RAG systems that ship, then stay reliable in production.
Two years, full ownership of production agents: scoping, prompt engineering, evaluation, drift detection, and post-launch monitoring. My foundation is Python, SQL, and the cloud. Right now my focus is RAG architecture and LLM-driven workflow automation.
Based in Chicago. Master's in Computer Science from DePaul, AWS Certified Cloud Practitioner, H1B-transferable. I tie every build to a measurable outcome, and I keep agents grounded enough to trust.
Experience
Where I've worked
Cloud Automation Engineer
RAMS Contracting
Shipped an internal RAG chatbot on Azure, end to end. I owned scoping, prompt engineering, retrieval tuning, and deployment. It serves about 50 people at roughly 150 queries a week. I built a ground-truth eval set and drift detection, designed retrieval over Vista ERP, Procore, and PlanGrid, and helped set the AI and automation roadmap.
Software Developer Intern
Noble House Solutions
Lifted ML model accuracy about 25% through feature engineering. Built AWS ETL pipelines (Python, Docker, Lambda, S3) that raised throughput around 35%. Modeled data from 12 sources into Redshift.
Business Operations Specialist (QA)
Amazon
Drove requirements, testing, and validation across engineering, product, and ops for high-impact system migrations. Ran root-cause analysis and defect resolution through structured triage.
Selected work
Projects
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Contact
Let's build something
that ships.
Open to AI engineering roles. H1B-transferable, based in Chicago, IL.
© 2026 Aditya Choudhary · Voice-interactive portfolio