Anirudh Edpuganti / Applied AI Engineer
I take AI systems from evaluation to production, with experience in secure NL-to-SQL, agentic workflows, model right-sizing, and Kubernetes-based inference.
Case studies / 03
Methodology Published · 2026
A transparent account of how I designed an evaluation for right-sizing the language model behind a Kubernetes diagnostic agent, with private measurements explicitly withheld.
View case studyProduction · 2025
A natural-language-to-SQL chatbot built into a security dashboard, enabling users to query complex data in plain English instead of navigating multiple views and filters. Built solo from prompt engineering to Kubernetes deployment.
View case studyActive · 2025
A portfolio website featuring an AI chatbot that lets visitors ask questions about my experience, skills, and projects using RAG-powered semantic search over my professional knowledge base.
View case studyModel right-sizing / In progress
I am evaluating where smaller, specialized language models can match larger-model quality while reducing serving cost and latency. The work spans repeatable evaluation, targeted fine-tuning, deployment, and benchmarking on the tasks that matter.
Evidence beyond delivery
Research across computer vision, genomic sequence classification, graph computing, and signal processing, with publication links and venues available for review.
Articles on building AI workflows, choosing configuration over custom applications, and using AI as a rigorous engineering partner.
Optional interface / Chat
The assistant is optional. Every project and qualification is available in the pages above.
Checking assistant availability...
Open to roles where careful evaluation, production engineering, and practical model choices turn AI capability into dependable systems.