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shrey-bish/README.md

Hi, I'm Shrey Bishnoi


About Me

  • MS Computer Science student at Arizona State University with a 4.11 GPA
  • Software Engineer with 2+ years of experience in backend engineering, ETL modernization, and data workflows for enterprise clients
  • Building applied AI agents, full-stack products, and data systems with end-to-end ownership from implementation to production adoption
  • Interested in LLM systems, voice AI, scalable backend design, analytics workflows, and products that turn messy real-world processes into usable software
  • Recent hackathon highlight: Ghosty, winner of Kiro Spark Challenge 2026 Best Collab with a $1,500 prize

Featured Projects

Project Description Stack
🏆 Ghosty AI conference companion that captures networking conversations, scores connection value, and drafts timely follow-ups. Winner of Kiro Spark Challenge 2026 Best Collab. React Native, Expo, TypeScript, Whisper, Claude, Supabase
🧭 Agent Nomad Belief-aware AI agent marketplace where agents bid on tasks by confidence, backed by live analytics and research workflows. VillageHacks bonus winner. ThinkN, AutoDB, Postgres, Claude, Tavily
📚 PaperPilot AI research workspace that turns papers into summaries, insights, implementation guidance, grounded Q&A, and a runnable sandbox. Next.js, FastAPI, Vertex AI, Firebase
🚨 RapidWing Real-time emergency command system that fuses incident feeds, risk scoring, trigger logic, and dispatch-ready intelligence. Python, FastAPI, React, Data Pipelines
🧠 Explainable Health Optimizer Predicts diabetes readmission and explains model behavior with SHAP through an interpretable ML dashboard. Python, LightGBM, SHAP, Streamlit

Tech Stack

Languages

Python TypeScript JavaScript C++ SQL

Product and Backend

React React%20Native Expo Node.js FastAPI Supabase

AI, Data, and Cloud

OpenAI Claude Pandas Power%20BI Docker AWS


Connect With Me


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Popular repositories Loading

  1. explainable-health-optimizer explainable-health-optimizer Public

    To develop a predictive and explainable dashboard for hospital readmissions in diabetic patients, using a machine learning model and SHAP (SHapley Additive Explanations).

    Jupyter Notebook

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    AI-powered personalized learning assistant

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  3. Plant-Disease-Detection Plant-Disease-Detection Public

    Detect and classify plant leaf diseases using traditional image processing and machine learning — without deep learning.

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  4. Valo-Empire Valo-Empire Public

    JavaScript

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  6. CSE-511-DPS CSE-511-DPS Public