Headline

Backend Devloper at TCS | DevOps & Automation | Python | FastAPI | Django | Flask | Amazon MLSS’23 | IBM Data Science Certified

About

With 1+ year of experience in development and DevOps and internal platform engineering, I focus on automating build and deployment workflows, developing internal tools, and improving operational efficiency using Python, Flask, and FastAPI. I am continuously advancing my expertise in modern DevOps practices, CI/CD optimization, and scalable system design to enhance automation, reliability, and performance across enterprise environments. My core computer science knowledge includes RDBMS, software engineering principles, and computer networks, allowing me to reason about system design beyond just implementation. I am familiar with software architecture concepts such as monolithic and microservices architectures, the MVC pattern, and principles like SOLID and dependency injection. I am currently exploring backend development using Python frameworks like FastAPI, Django & Flask and DevOps.

Location

Kolkata

Work experience

Back End Developer at Tata Consultancy Services, Nov 2024 - Present · 1 yr 6 mos, Kolkata, West Bengal, India, I work in the Environment team, where I focus on automating and streamlining the build and deployment processes for applications, including microservices. My role involves developing internal tools, automation scripts, and web-based platforms to support production readiness and operational efficiency. I work daily with technologies like Python, Flask, Jinja templates, and DynamoDB. Key contributions: • Automated build and deployment pipelines using Bamboo API, reducing manual effort and increasing consistency across environments. • Automated Jira ticket creation via Jira API, with backend validations and dual approval for structured, compliant production releases.

Amazon ML Summer School at Amazon, Sep 2023 - Oct 2023 · 2 mos, Remote, Amazon ML Summer School aims at providing students the opportunity to gain Machine Learning (ML) skills and which is the first step in becoming ready to build a career in ML. This program is an intensive course on key ML topics and is a great opportunity to learn from and interact with Scientists at Amazon who have immense knowledge in their ML domain.

Education

Bachelor of Technology - BTech, Computer Science and Business Systems, Academy of Technology

Intermediate (12th), Mathematics and Computer Science, Geeta Science Inter College, Hazaribagh