"The greatest quality to be successful is curiosity."

I'm a Software Engineer passionate about building reliable, scalable and fault-tolerant backend systems. I enjoy understanding how systems work internally, solving complex engineering problems, and continuously learning new technologies.

• 💻 Software Engineer focused on Backend Engineering, Distributed Systems & Microservices
• 🚀 Experienced in building production systems using Java, Spring Boot, Kafka, Redis, AWS & Kubernetes
• 🔧 Interested in System Design, Scalability, Reliability, Performance & Infrastructure
• 🔐 Exploring Application Security, Cloud Security, Secure System Design & Cybersecurity
• ☁️ Exploring DevOps, Cloud Infrastructure, CI/CD, Kubernetes & Infrastructure Automation
• 🌱 Open Source contributor and enjoy collaborating on engineering projects
• 🧠 Regularly practice Data Structures & Algorithms and system design
• 🤖 Exploring Generative AI and LLM-powered developer tools and using them in my daily engineering workflow
• 🎓 Graduated in Computer Science & Engineering
• 🤝 Always open to interesting backend, distributed systems and open-source collaborations

• Backend Engineering
• Distributed Systems
• Microservices
• Data Structures & Algorithms
• System Design — HLD & LLD
• Database Design & Optimization
• Scalable & Fault-Tolerant Systems
• Event-Driven Architecture
• Cloud Computing
• DevOps & Infrastructure
• Kubernetes & Containerization
• CI/CD & Infrastructure Automation
• Application & Cloud Security
• Secure API Design
• Observability & Reliability Engineering
• Generative AI & Developer Productivity

I'm increasingly interested in understanding systems beyond application development — particularly how they are deployed, secured, monitored and operated in production.

• Cloud & Application Security
• Secure API Design
• Authentication & Authorization
• Data Encryption & Hashing
• Kubernetes Security
• Container Security
• CI/CD Security
• Infrastructure as Code
• Monitoring & Observability
• Reliability & Incident Management

I actively explore how LLMs and AI-assisted development can improve the software engineering lifecycle — from understanding existing codebases and planning implementations to generating, reviewing and testing code.

• Advanced Distributed Systems
• Kubernetes & Cloud Infrastructure
• DevOps & Platform Engineering
• Application & Cloud Security
• System Design & Architecture
• Generative AI & LLM Applications
• Performance & Reliability Engineering

• English 🔤
• Hindi 🇮🇳