Focused on building resilient, high-throughput, and production-oriented backend systems.
I specialize in Spring Boot, architecting scalable microservices, implementing event-driven layers (Kafka/Redis), and enforcing stringent stateless security protocols.
- 🔭 I’m currently building: Centralized KYC Verification System & contributing to Apache DolphinScheduler
- 🌱 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
- 🏆 9.30 CGPA | Top 7% in AICTE National CTF | 650+ Algorithmic Problems Solved
- 📫 How to reach me: LinkedIn
🛡️ SentinelGate - Edge Security API Gateway
A stateless, high-throughput security gateway designed to monitor backend services in real-time, detect abnormal traffic patterns, and automatically enforce defensive measures.
- Problem Solved: Achieving low-latency request interception without blocking the main I/O thread.
- Solution: Offloaded threat analysis and IP blacklisting to an asynchronous Kafka pipeline with Redis caching.
- Security Features: Device fingerprinting, real-time anomaly detection, automated defense (IP blocking/rate limiting).
- Tech Stack: Spring Cloud Gateway, Kafka, Redis, RSA Cryptography, MySQL, Docker.
🆔 Decentralized KYC Infrastructure (Alpha 🚧)
A distributed identity verification platform designed to eliminate redundant KYC checks across institutions using cryptographic short-lived tokens.
- Privacy-First Design: Short-lived QR-based identity tokens and data minimization design to prevent replay attacks.
- Governance: Immutable audit logs for compliance using a dedicated audit database.
- Tech Stack: Spring Boot, Spring Security (OAuth2/JWT), PostgreSQL, Kafka.
A low-latency, event-driven examination platform utilizing WebSockets to maintain persistent bidirectional connections for real-time anomaly detection.
- Scalability: Capable of managing state for thousands of concurrent WebSocket connections via efficient session mapping.
- Detection: Monitors tab switching, focus-loss, and other proctoring events.
- Tech Stack: Java, Spring Boot, WebSockets, React.
An automated threat detection pipeline leveraging static analysis and ML models (XGBoost) to classify polymorphic malicious payloads within PDF structures.
- Innovation: Custom structural parsers to identify high-entropy object streams in malformed PDFs.
- Tech Stack: Python, TensorFlow, XGBoost, Scikit-learn.
Systems Contributor
- Engineering core workflow engine modules and integration pipelines for a distributed visual DAG workflow task scheduling system.
- Architecting fault-tolerant test suites covering edge-case timeout scenarios within dockerized environments.
- Impact: Strengthened database assertion logic for a project with 11k+ GitHub stars.