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samarth1412/README.md

Samarth Vinayaka

AI Systems • Scalable Applications • Backend Infrastructure

MS Computer Science @ University of Florida

Building production-grade AI systems, distributed applications, and scalable backend platforms focused on retrieval, automation, real-time systems, and intelligent workflows.

Interested in designing systems where AI, infrastructure, and software engineering intersect to create reliable and deployable products.

Portfolio • LinkedIn • Medium • Email

Tech Stack

Python Go TypeScript FastAPI React PostgreSQL MongoDB Docker AWS LangGraph PyTorch Socket.IO Redis

Interests

Agentic AI • Distributed Systems • AI Infrastructure • Semantic Retrieval • Backend Architecture

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  1. Explainable-Corrective-rag Explainable-Corrective-rag Public

    Explainable Corrective RAG platform with retrieval evaluation, adaptive routing, source citations, Streamlit/FastAPI demos, and RAGAS benchmarking.

    Jupyter Notebook

  2. JobGraph-AI JobGraph-AI Public

    AI system that recommends jobs using graph + semantic signals and autonomously applies via a multi-step browser agent (LLM + Playwright)

    Python

  3. RideFlow RideFlow Public

    Real-time vehicle sharing platform with MERN, JWT auth, AWS deployment architecture, and scalable booking workflows.

    JavaScript

  4. SyncChat SyncChat Public

    Real-time communication platform built with React, Node.js, Socket.IO, JWT auth, MongoDB, and Cloudinary, featuring live presence, typing indicators, and event-driven messaging.

    JavaScript

  5. LLM-Context-Optimization-Engine LLM-Context-Optimization-Engine Public

    LLM context engineering platform for token-efficient memory, semantic retrieval, benchmarking, and long-session optimization in production AI systems.

    Python 2

  6. Context-Trace Context-Trace Public

    Local-first SDK and CLI for debugging RAG failures, verifying citations, classifying failure modes, and generating reliability reports for user-built RAG and AI agent systems.

    Python