I’m Apurba.
Systems | Scale | Infra | Automation.

I am currently working as an Information Technology Intern at Texas Instruments India. I am in the final semester of my Master of Computer Applications at NIT Jamshedpur. I am deeply interested in networking systems, infrastructure automation and building scalable platforms. I enjoy understanding how systems behave under load and how data travels across networks. What started as curiosity about packets moving across wires slowly became a serious study of distributed systems and cloud architecture.

I like building systems that are reliable and predictable. I work mainly on backend engineering using TypeScript, Node.js, GoLang, Express. I design and deploy services using Docker, Kubernetes, Jenkins, Ansible. I work with PostgreSQL and MongoDB for data modeling and storage. I focus on writing clean services handling failures properly and designing APIs that are easy to extend. I care about system design concurrency caching rate limiting and performance tuning.

I regularly solve problems on LeetCode Codeforces and CodeChef with more than 500 problems solved. These platforms sharpen my understanding of data structures algorithms and logical thinking. I enjoy thinking deeply about time complexity space optimization and design trade offs.

Beyond engineering I enjoy reading about technology trends cyber security incidents startup stories and financial awareness. I like learning how real systems fail and how companies recover from those failures. I enjoy writing technical articles to simplify complex topics and sharing what I learn. I also like exploring open source projects and understanding how large codebases are structured.

In my free time I enjoy reading books, watching thoughtful movies, anime, series and following developments in science and space research. I like long walks, long travel, solo ride where I can think through ideas and reflect on what I am building next. I believe consistent learning and disciplined effort compound over time and I try to improve a little every day.