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divyat2605/README.md
Divya Tripathi Banner

GitHub LinkedIn Portfolio Gmail


⚔️ Until death, all defeats are psychological.

✨ This is just the beginning of many more wonders to unfold. 🧿


Typing SVG


Divya Tripathi
const divya = {
  name: "Divya Tripathi",
  role: [
    "AI/ML Engineer",
    "Backend Developer",
    "Agentic Systems Builder"
  ],
  currentlyStudying: "B.Tech CS @ SRM Institute of Science & Technology, Delhi NCR",
  graduating: 2027,
  location: "Delhi, India",
  philosophy: "Curious enough to question, ambitious enough to build.",
  focus: {
    ai: "Agentic RAG pipelines, LangGraph orchestration, conversational memory",
    backend: "FastAPI services, PostgreSQL, Redis, Docker deployments",
    always: "Turning half-formed ideas into shipped, working systems"
  }
};

🧰 Tech Stack

Python
Python
C++
C++
JavaScript
JavaScript
FastAPI
FastAPI
PostgreSQL
PostgreSQL
Redis
Redis
Docker
Docker
Next.js
Next.js
React
React
Three.js
Three.js
Tailwind CSS
Tailwind CSS
PyTorch
PyTorch
Git
Git
Vercel
Vercel
VS Code
VS Code
Figma
Figma

Also fluent in: LangChain · LangGraph · Qdrant · GSAP · SHAP · Streamlit


🚀 Featured Projects

🧠 MemoryForge

A modular conversational RAG system orchestrated with LangGraph, combining BM25 and vector similarity search with Redis-backed memory across 100+ sessions.

LangGraph FastAPI Redis Qdrant Docker

  • Hybrid Retrieval Engine: Combines BM25 keyword search with vector similarity for higher-precision context retrieval across long conversational histories.
  • Compressed, Fast Context: Integrates LLMLingua for 4–6× token compression, cutting latency without losing retrieval quality.
  • Persistent Agentic Memory: Redis-backed session memory holds context reliably across 100+ turns, deployed via Docker Compose with full observability.

🏦 Agentic Loan Recovery System

An explainable AI system predicting loan recovery risk, built for transparency over black-box scoring.

FastAPI scikit-learn SHAP Streamlit

  • Explainable Predictions: SHAP-driven transparency layer shows exactly why each risk score was assigned, per record.
  • Balanced Risk Modeling: Random Forest classifier with SMOTE class balancing for reliable predictions on imbalanced loan data.
  • Real-Time API Serving: FastAPI backend delivers risk scores on demand, with a Streamlit dashboard for visualizing model reasoning.

📊 GitHub Analytics

visitor count



🧿 200+ LeetCode problems solved · SAP Certified Generative AI Developer · Building agents that remember, reason, and respond

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    MemoryForge is a production-grade Agentic Conversational RAG API for research documents - built with LangChain + LangGraph orchestration, BM25 keyword retrieval, LLMLingua context compression, dual…

    Python 1

  2. agentic-ai-coding-tool agentic-ai-coding-tool Public

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    Python

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    End-to-end predictive maintenance system on NASA CMAPSS sensor data. ML-based Remaining Useful Life (RUL) estimation, Weibull reliability analysis, spare parts demand forecasting, automated Airflow…

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  4. Eternal-Whispers Eternal-Whispers Public

    Eternal Whispers: Nightmare Journey is an interactive horror storytelling web experience built with HTML, CSS, and JavaScript, featuring scroll-based narrative progression, glitch effects, jump sca…

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  5. Smart-Wallet-Connect Smart-Wallet-Connect Public

    A Solidity-based Lottery Smart Contract that enables users to enter a decentralized lottery by sending Ether, with a manager-controlled winner selection system. Built for Ethereum blockchain develo…

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  6. spec-driven-development spec-driven-development Public

    A full-stack AI agent clinic built with spec-driven development. Next.js 15, TypeScript, Prisma, PostgreSQL, Tailwind CSS. Deployed on Vercel.

    TypeScript 1