I’m a Cloud and Infrastructure Engineer with over 6 years of experience designing, building, and operating scalable distributed systems. My work focuses on cloud-native architectures, infrastructure automation, and improving system reliability for production-grade applications.
I specialize in AWS-based environments, Infrastructure as Code, containerized workloads, and platform engineering. Over the years, I’ve worked across DevOps, Site Reliability Engineering, and backend development, helping teams deliver resilient and secure systems at scale.
My approach combines strong engineering fundamentals with automation-first thinking. I believe infrastructure should be version-controlled, observable, and continuously improved — not manually maintained. Reliability, performance, and security are not afterthoughts; they are built into the design from day one.
Throughout my career, I have contributed to cloud migrations, CI/CD modernization, performance optimization initiatives, and high-availability architecture implementations. I enjoy solving complex infrastructure challenges and simplifying systems to make them more maintainable and efficient.
Beyond technical implementation, I value clear communication, structured problem-solving, and ownership. I aim to build systems that not only scale technically but also support teams in moving faster and more confidently.
Education
PG B.Tech in Computer Science & Engineering From University Of Calcutta (Rajabajar Science College). B.Sc. (Hons.) in Physics with Mathematics & Statistics From University of Calcutta (St. Pauls College)
Executive MTech in Artificial Intelligence [Ongoing] From Indian Institute of Technology – Bhilai
Workshops and
Mentorship
.Delivered structured Terraform workshops enabling teams to adopt Infrastructure as Code and automate AWS deployments confidently – as part of J.P.Morgan Chase’s tech modernization initiatives in Bangalore with a frequency of atleast one in-person workshops in a quarter.
Mentored junior and mid-level engineers in cloud-native architecture, observability, and reliability-driven engineering practices.
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