
Multi-source RAG pipeline querying PubMed, OpenAlex and ClinicalTrials.gov in parallel, generating evidence-based reports with a custom 100-point ranking algorithm.
I'm Sanjay Aggi — a Full Stack AI Developer who ships RAG pipelines, LLM orchestration and full-stack MERN apps with senior-level polish and performance.

I build intelligent, production-grade web apps — RAG pipelines, LLM orchestration, and the MERN stack — with the polish of a senior product engineer.
RAG pipelines, multi-model fallback chains, vector embeddings and real-time streaming.
End-to-end MERN and Next.js apps with clean architecture and scalable design.
REST APIs, Redis caching, BullMQ queues, PostgreSQL and distributed patterns.
Six production projects spanning AI research, RAG systems, real-time platforms and e-commerce — each engineered for measurable impact.

Multi-source RAG pipeline querying PubMed, OpenAlex and ClinicalTrials.gov in parallel, generating evidence-based reports with a custom 100-point ranking algorithm.


End-to-end AI recruitment platform with Gemini-powered resume scoring, weighted match algorithms, and an interactive AI screening module that generates role-specific interview questions.



Years deep in React/Node and rapidly expanding across the AI tooling layer.
I'm open to full-time roles, contracts and collaborations. The fastest way to reach me is email — I reply within a day.