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NYN-05/README.md


⚡ Profile Snapshot

Name        → Jhashank Nayan
Focus       → Backend + ML Systems
Strength    → Building practical, working systems
Goal        → High-impact engineering + scalable products

🧠 What I Actually Do

Backend Systems Machine Learning Full Projects
APIs, infra, scaling NLP, prediction, CV End-to-end builds

🛠 Tech Stack (Structured Grid)

💻 Languages

🌐 Frontend

⚙️ Backend

🤖 ML / AI

☁️ DevOps / Tools

📦 Featured Projects (Clean Grid)

Project What it does Core Value
System Monitoring Tracks + predicts system usage Observability + ML
Scam Detector Detects fraudulent emails NLP + classification
AI Fitness App Real-time pose tracking CV + mobile

📊 GitHub Analytics


⚙️ Execution Model

  • Break systems into components
  • Build MVP fast
  • Validate with real data
  • Optimize performance
  • Iterate continuously

📈 Current Focus

  • Distributed systems
  • Backend scaling
  • Production ML pipelines

📫 Contact

Pinned Loading

  1. MiniProject MiniProject Public

    Email scam detector combining linguistically informed feature engineering with a PyTorch classifier trained on an Enron-derived labeled corpus. Extracts domain, metadata, stylistic and entropy feat…

    Python 2

  2. Sports_android Sports_android Public

    🏋️ AI Fitness Monitor - Real-time pose detection for exercise analysis. Android app streams camera to Flask server using MediaPipe for instant squat counting & jump height measurement with skeleton…

    Python 2

  3. TheCakeTime_Website TheCakeTime_Website Public

    TheCakeTime Bakery Website: Complete e-commerce platform for bakeries built with Next.js 14, React 18, TypeScript, Express.js, MongoDB, and Stripe. Features secure shopping cart, payment processing…

    TypeScript 3

  4. System-Monitoring System-Monitoring Public

    Python 2

  5. Water_Remainder_Android Water_Remainder_Android Public

    Water Reminder Android app with goal tracking, reminders, history, and sync.

    Kotlin 2

  6. VERISIGHT_V1 VERISIGHT_V1 Public

    Multi-layer deep learning system for detecting forged and manipulated images. Combines CNN, Vision Transformer, GAN-based analysis, and OCR for comprehensive image forensics authentication.

    Python 2 1