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@Grp12-Sem4 @Secuura-x-VIT-POC

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ShreyashDabhade/README.md

Hi there, I'm Shreyash Dabhade πŸ‘‹

AI Backend Developer building LLM-powered verification systems that work in production, not just demos.

I build AI-driven backends β€” Flask + REST APIs, multi-agent LangChain workflows, and real-time document verification with live registry validation. Currently working on an industry-sponsored project with Secuura.

GitHub LinkedIn Gmail


πŸš€ Featured Work

🧾 Document Verification Engine

πŸ”— Secuura-x-VIT-POC/verification-engine

Industry-sponsored project by Secuura β€” an AI agent-based system that verifies documents in real time.

  • Integrates with Microsoft Entra and registry APIs for live validation
  • Uses AI agents to automate document verification workflows
  • Designed for secure, scalable, real-world enterprise use

🧠 About Me

  • πŸ”­ Building AI-driven backend systems (Flask, REST, LangChain)
  • 🌱 Exploring system design & scaling and LLM-based pipelines
  • 🀝 Open to collaboration on AI systems (LLMs, automation, verification) and backend-heavy real-world apps
  • ⚑ I focus on building systems that actually work, not just look impressive

πŸ› οΈ Skills

Languages

C C++ Java Python JavaScript

Backend

Flask NodeJS React EJS

AI / ML

LangChain Pandas NumPy scikit-learn

  • LLM APIs (Gemini, prompt engineering, response parsing)
  • NLP fundamentals (text classification, information extraction)
  • Multi-agent workflows and orchestration, real-time verification pipelines

Databases & Tools

MySQL MongoDB Postgres Docker Git


πŸ“« Contact

Best way to reach me: shreyashdabhade9@gmail.com or LinkedIn.


πŸ“Š GitHub Stats

GitHub Stats Top Languages

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  1. aarog aarog Public

    JavaScript 1

  2. incidentiq incidentiq Public

    IncidentIQ

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  3. PayStream PayStream Public

    PayStream

    TypeScript 3

  4. CodeSage CodeSage Public

    HTML

  5. Secuura-x-VIT-POC/verification-engine Secuura-x-VIT-POC/verification-engine Public

    Session-based document verification engine with extraction, grounding, trust evaluation, and audit-backed decisions.

    Python