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hydralgorithm/README.md

Typing Header

Building at the intersection of cloud infrastructure, ML, and full-stack development.

👨‍💻 About Me

I'm a Computer Science student at MIT Bengaluru (2nd semester) who builds real things under hackathon pressure. My focus is cloud infrastructure, ML engineering, and full-stack development — I ship first, refine later.

  • 🫁 Built PneumoScan — pneumonia detection with EfficientNetB3 + GradCAM + CURB-65 clinical scoring
  • ☁️ Interested in AWS, anomaly detection, and MLOps pipelines
  • 🔨 Currently building: SplitSnap (React Native fintech app)
  • 💬 Ask me about: Python, ML model deployment, cloud cost optimization
  • 📫 Reach me at: hydralgorithm@gmail.com

🚀 Featured Projects

Project Description Stack
🥉 CloudSeer AI-driven cloud cost intelligence — anomaly detection, spend forecasting, 1-click remediation. 3rd/80+ teams. Python, AWS CloudWatch, Prophet, LOF
🫁 PneumoScan Pneumonia detection from chest X-rays. EfficientNetB3, GradCAM explainability, CURB-65 severity scoring. 81% accuracy. Python, TensorFlow, FastAPI
🔒 SecureFlow Real-time UPI fraud prevention — 6 behavioral rules, 40+ scam keyword detections. TypeScript
⚙️ modelServe_Lite Lightweight framework for deploying ML models as production REST APIs. Python, FastAPI

🛠️ Tech Stack

📊 GitHub Stats

GitHub Streak

"Ship it. Then make it better."

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  1. CloudSeer CloudSeer Public

    🥉 3rd Place Winner @ MIT BLR TechSolstice Hackathon. CloudSeer is an AI-driven cloud cost intelligence platform that detects AWS anomalies, forecasts spend, and triggers 1-click auto-remediation.

    JavaScript

  2. PneumoScan PneumoScan Public

    Pneumonia detection web app using EfficientNetB3 + GradCAM explainability and CURB-65 clinical severity scoring. 81% accuracy on chest X-ray dataset.

    TypeScript

  3. SecureFlow SecureFlow Public

    Real-time UPI fraud prevention system that scores every transaction before confirmation using 6 behavioral rules and 40+ scam keyword detections. Applies calibrated friction — safe payments flow in…

    TypeScript

  4. modelServe_Lite modelServe_Lite Public

    Lightweight framework for deploying ML models as production-ready REST APIs using FastAPI. Supports model versioning, health checks, and inference endpoints.

    HTML