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Ayushx975/README.md

Hi 👋, I'm Ayush Kumar

AI/ML Developer · FinTech & Cybersecurity · National Hackathon Finalist

Typing SVG

Profile views Followers CyberShield Finalist

🏆 Achievement Highlights

  • 🥇 National Finalist (Top 18) — CyberShield Hackathon 2026, out of 2,936 teams nationwide (Bank of India × IIT Hyderabad, Ministry of Finance)
  • 🚀 MuleShield — AI-powered money-mule & suspicious transaction detection system (ROC-AUC 0.9913), built on a real Bank of India dataset of 9,082 accounts
  • ⚙️ Predictifi-cloud — Zero-hardware AI predictive maintenance SaaS for Indian MSMEs (91% accuracy, CodeFusion 2K26, Microsoft-supported)
  • 🎯 Competitor at 5+ national hackathons: CyberShield (BOI × IIT Hyderabad), CodeFusion 2K26 (Microsoft), Adobe University Hackathon, OOSC 4.0 (IIIT Allahabad), Project Viksit Bharat

💡 What I Build

Financial AI         Fraud detection, transaction anomaly detection, money-mule tracking
Autonomous Agents    Multi-agent pipelines with LangChain & CrewAI
Predictive ML        XGBoost ensembles, SHAP explainability, Isolation Forest
Full-Stack           FastAPI · Next.js · TypeScript · PostgreSQL

🛡️ Featured Project — MuleShield

Real-time money-mule account detection with leakage-audited ML ensemble, SHAP explainability, fund-flow graph visualization & regulator-ready STR filing (PMLA 2002). ROC-AUC 0.9913 · Precision 90.2% · Recall 91.4% · Live Demo · Repo

🔧 Recent Builds

Project What It Does
upi-anomaly-guard UPI transaction anomaly detection — Isolation Forest + explainable rule flags (8/8 mules caught, 0 false positives)
credit-scorer-lite Credit scoring with reason codes — XGBoost + per-applicant attributions, APPROVE/REVIEW/DECLINE tiers
portfolio-stats-api Portfolio analytics REST API — CAGR, Sharpe/Sortino, max drawdown, diversification score (13 tests)
expense-tracker-cli Zero-dependency finance CLI — budgets, overspend warnings, summaries, CSV export

📌 Pinned Repositories

Repo Description
muleshield-web AI mule-account detection · CyberShield 2026 (BOI × IIT Hyderabad)
Predictifi-cloud Predictive maintenance SaaS · CodeFusion 2K26 (Microsoft)
upi-anomaly-guard UPI anomaly detection · Isolation Forest + rule flags
credit-scorer-lite Credit scoring with reason codes · XGBoost
portfolio-stats-api Portfolio analytics API · FastAPI + pytest
mule- Money-mule detection ML core (Python)

🧰 Tech Stack

📊 GitHub Stats

📫 Connect With Me

🎓 B.Tech CSE @ Rajkiya Engineering College, Kannauj · Open to hackathons, internships & collaborations in FinTech, AI & Cybersecurity

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    ML core for money-mule account detection - XGBoost ensemble, SHAP explainability, anomaly detection. CyberShield 2026 (Bank of India x IIT Hyderabad) - Top 18 National Finalist

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    A study companion with Pomodoro, Notes, Flashcards & more.

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