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Hi, I'm Sarvesh. I am an AI Engineer specializing in high-performance backend infrastructure and agentic workflows.

Core Architecture

  • ARIA: Sub-30s deterministic RAG infrastructure for forensic analysis.

  • Trust Flow: Autonomous agentic AI pipeline for complex document reconciliation.

Why Sponsor?

Maintaining open-source AI systems requires ongoing compute. Your funds directly cover:

  1. Infrastructure Costs: API credits for LLM inference (Groq/Llama) and vector DB hosting.
  2. Active Maintenance: Updating dependencies, refining CI/CD pipelines, and shipping new features.

Your support ensures these systems remain open, actively maintained, and production-ready.


Typing Status

1 sponsor has funded sarvesh-raam’s work.

@Kavinkarthick2005

Featured work

  1. sarvesh-raam/ARIA

    AI agent that reads financial documents, searches live news, detects risk signals & generates reports in 30 seconds. Built with RAG, ChromaDB, Groq Llama-3 & FastAPI.

    Python
  2. sarvesh-raam/BroLift

    Smart college carpooling — share rides, split fuel costs & commute greener. Built with Flask + Google Maps.

    HTML
  3. sarvesh-raam/trust-flow

    Trust Flow: An autonomous agentic AI pipeline for customs document reconciliation and compliance using LangGraph, Docling, and Groq. Automates the verification of Commercial Invoices and Bills of L…

    Python
  4. sarvesh-raam/explainable.ai

    A research framework evaluating the stability and clinical utility of SHAP and LIME for healthcare models. Features a 5-phase pipeline for performance benchmarking, local/global explanations, and d…

    HTML

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