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shrihari7396/README.md

Hi 👋, I'm Shrihari Kulkarni

Java Backend Developer | Security 🛡️ | Distributed Systems ⚙️

Focused on building secure, scalable, and production-oriented backend systems.
I specialize in Spring Boot, designing APIs, security layers, monitoring components, and backend architecture.

LinkedIn GitHub

⚡ About Me

  • 🔭 I’m currently building: Centralized KYC Verification System
  • 🌱 I’m currently learning: Advanced Spring Security, Kubernetes, AWS/GCP, and System Design
  • 🛠️ I enjoy working on the core layers of backend systems — authentication, authorization, logging, monitoring, and service integration.
  • 🎯 My focus: Architecture → Implementation → Deployment
  • 📫 How to reach me: LinkedIn

💻 Tech Stack & Tools

Languages

Java Python SQL C++

Backend & Frameworks

Spring Boot Spring Security Hibernate REST API Microservices

Databases

MySQL

DevOps, Cloud & Tools

Docker Kubernetes Git IntelliJ IDEA Postman Linux

🚀 Featured Projects

🛡️ SentinelGate - Security Gateway & Defense Monitoring System

A centralized API gateway built with Spring Boot designed to monitor backend services in real-time, detect abnormal traffic patterns, and automatically enforce defensive measures.

  • Architecture: Microservices gateway utilizing strict logging and monitoring pipelines inspired by WAF/SIEM.
  • Security Features: Real-time anomaly detection (rate abuse, suspicious patterns), automated defense actions (IP blocking, rate limiting, alerting).
  • Tech Stack: Java, Spring Boot, Spring Cloud Gateway, Kafka, MySQL, Redis, Docker.

🆔 Centralized KYC Verification System (Currently Building 🚧)

A secure, one-time KYC platform designed to eliminate repeated identity verification across institutions using tokenized access.

  • Privacy-First Design: Short-lived QR-based identity tokens and data minimization design.
  • Security Features: Audit logs for compliance, secure API integration for third-party institutions.
  • Tech Stack: Spring Boot, Spring Security (OAuth2/JWT), PostgreSQL.

🎓 Anti-Plagiarism Examination Platform

A secure online examination system designed to prevent cheating in competitive exams and coding platforms.

  • Proctoring: Detects tab switching, monitors focus-loss events, and auto-disqualifies based on predefined logic.
  • Tech Stack: Java, Spring Boot, WebSockets (for real-time tracking).

🧬 PDF Malware Detection System

An ML-powered cybersecurity tool designed to statically analyze and classify PDF files for potential malware before execution.

  • Capabilities: Static PDF structure analysis and metadata extraction.
  • Tech Stack: Python, TensorFlow (GPU), ML modeling.

📊 GitHub Stats

📈 GitHub Contribution Graph

"Building secure, observable, and resilient systems."

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