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aadityabinodyadav/README.md

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WHAT I ENGINEER

Backend & Distributed Systems

Real-time pipelines, event-driven architectures, sub-50ms fraud scoring engines

AI & Intelligence Layer

ML-powered risk analysis, adaptive routing, predictive analytics at scale


⚑ TECH ARSENAL

πŸ—οΈ Core Stack

πŸ—„οΈ Data Layer

☁️ Infrastructure & DevOps

🧠 AI & Real-Time


πŸš€ FLAGSHIP PROJECTS

πŸ”΄ FLINT β€” Fraud Intelligence Engine

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ TRANSACTION INCOMING β”‚ β”‚ β”œβ”€β”€ Risk Score: 0.94 πŸ”΄ β”‚ β”‚ β”œβ”€β”€ Latency: 38ms β”‚ β”‚ β”œβ”€β”€ Pattern: Card Testing β”‚ β”‚ └── Action: ❌ BLOCKED β”‚ β”‚ β”‚ β”‚ Status: PROTECTED β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

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Real-time fraud scoring before money moves. AI-driven risk engine processing every transaction in <50ms. Behavioral analysis + anomaly detection at scale.

Node.js Redis Kafka ML Pipeline

🟒 CRISIS MESH β€” Offline-First Platform

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ MESH NETWORK STATUS β”‚ β”‚ β”œβ”€β”€ Nodes Online: 147 β”‚ β”‚ β”œβ”€β”€ Sync Queue: 3 pending β”‚ β”‚ β”œβ”€β”€ Connectivity: MESH-P2P β”‚ β”‚ └── Coverage: 12km radius β”‚ β”‚ β”‚ β”‚ Status: OPERATIONAL β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

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Disaster communication when internet dies. Peer-to-peer sync, mesh routing, offline-first architecture. AI-optimized adaptive routing between nodes.

React WebRTC IndexedDB Mesh Protocol

πŸ”΅ MIND LAB SMS β€” School Intelligence

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ SYSTEM DASHBOARD β”‚ β”‚ β”œβ”€β”€ Active Tenants: 24 β”‚ β”‚ β”œβ”€β”€ Students Managed: 15,000+ β”‚ β”‚ β”œβ”€β”€ Notifications: Real-time β”‚ β”‚ └── Uptime: 99.97% β”‚ β”‚ β”‚ β”‚ Status: ALL SYSTEMS GO β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

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Multi-tenant school management at production scale. Real-time notifications, analytics dashboards, academic workflow automation.

Node.js PostgreSQL Prisma React

🟑 AI MESH ROUTER β€” Adaptive Networks

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ ROUTING OPTIMIZATION β”‚ β”‚ β”œβ”€β”€ Algorithm: AI-Adaptive β”‚ β”‚ β”œβ”€β”€ Hop Reduction: 47% β”‚ β”‚ β”œβ”€β”€ Latency Gain: 3.2x β”‚ β”‚ └── Network Type: P2P Mesh β”‚ β”‚ β”‚ β”‚ Status: LEARNING β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

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Self-learning routing for peer-to-peer networks. Reduces hops dynamically based on real-time congestion analysis and node reliability.

Python Graph Algorithms Real-Time


πŸ“Š SYSTEM METRICS




πŸ† TROPHIES


🐍 CONTRIBUTION SNAKE

Snake animation

🌐 CONNECT WITH THE ARCHITECT



"I don't just write code β€” I architect systems that predict, protect, and perform at scale." β€” Aaditya B

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