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Arun-1911/README.md

Karthikeyan Arun

Typing animation

Final-year B.Tech CS (AI & ML) student at VIT Chennai, building applied ML/RL systems end to end — from model to a working product around it.

Currently: Final-year project — QTrustFace: hybrid quantum-RL trust-aware face authentication with post-quantum cryptography and an ESP32 hardware demo Open to: internship/full-time roles in ML, applied AI, and full-stack engineering Background: Full Stack Developer Intern @ Viskamnix Technology (paperless mobile census app — React/Redux/Laravel) · Chairperson, Event Managers Club, VIT Chennai

Skills

Skills

Recent Work

  • ProductOS — Multi-tenant B2B SaaS product-ops platform (Swift/Vapor API with JWT auth & RBAC, Next.js/TypeScript frontend, PostgreSQL) with RICE-based prioritization and a product-health scoring engine
  • dynamic-pricing-rl — PPO-based reinforcement learning pricing engine with SHAP explainability, trained on real e-commerce transaction data
  • stgcn-traffic-forecasting — STGCN traffic forecasting on METR-LA, benchmarked against LSTM, DCRNN, and Graph WaveNet
  • malware-risk-scanner — Random Forest malware classifier on PE import-table features with a Flask inference backend
  • lumen-library — Digital library pairing a live Open Library catalog with a publishing platform, Flask API + React
  • air-writing-board — Real-time browser air-writing board using MediaPipe hand-landmark tracking

Reach me

Portfolio · LinkedIn · Karthikarun1911@gmail.com

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  1. ProductOS ProductOS Public

    AI-powered product management & operations platform — Swift/Vapor backend, Next.js frontend

    TypeScript

  2. dynamic-pricing-rl dynamic-pricing-rl Public

    PPO-based reinforcement learning dynamic pricing engine with SHAP explainability, trained on real e-commerce transaction data

    TypeScript

  3. malware-risk-scanner malware-risk-scanner Public

    Random Forest malware classifier on PE import-table features, with a Flask backend for real static-analysis inference

    Python

  4. stgcn-traffic-forecasting stgcn-traffic-forecasting Public

    STGCN-based traffic forecasting on METR-LA, benchmarked against LSTM, DCRNN, and Graph WaveNet

    Python