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Bhuvaneswari chodisetty

@bhuvaneswarichodiset

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Computer Science engineer specialized in full-stack and backend development.

India

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What I'm looking for

I seek backend/full-stack roles at growth-focused teams where I can build scalable APIs, improve CI/CD, work with cloud-native tooling, and grow into production engineering or ML applied roles.

I am a Computer Science engineer with hands-on experience in full-stack and backend development gained through internships at Barclays and Gap Inc., where I built production-feasible web apps and RESTful services. I led an ECG classification project using 1D/2D CNNs and classical ML, and I focus on writing maintainable code, designing schemas, and implementing scalable features.

I have strong foundations in Java, Python, and C++ and practical experience with Spring Boot, Angular, Flask, Docker, Kafka, and CI/CD pipelines. I deliver robust, well-tested solutions—achieving high test coverage—and continuously improve project management and production-grade development skills.

Experience

Work history, roles, and key accomplishments

Backend Developer Intern

Gap Inc.

Jan 2025 - Jul 2025 (6 months)

Developed and maintained RESTful services using Java Spring Boot, integrated Apache Kafka for data streaming and Docker for containerization; refactored legacy code and wrote JUnit tests achieving 89% coverage while delivering features for the TRAFFIC application.

Spring Boot Apache Kafka Docker RESTful APIs Junit SQL ArgoCD

Full-Stack Developer Intern

Barclays

May 2024 - Jul 2024 (2 months)

Built a full-stack web app using AngularJS and Python Flask with Oracle SQL, delivered features ahead of an 8-week timeline and collaborated with senior engineers on production-grade practices.

AngularJS Python Oracle SQL SQLAlchemy RESTful APIs Postman Git Jira

Education

Degrees, certifications, and relevant coursework

National Institute of Technology, Rourkela

Bachelor of Technology, Computer Science & Engineering

2021 - 2025

Grade: CGPA: 7.4

Activities and societies: Led ECG classification project using CNNs and traditional ML; coursework included Data Structures, DBMS, OOP, Operating Systems, and Computer Networks.

B.Tech in Computer Science & Engineering completed with a focus on software development, machine learning, and systems courses; involved in ECG classification and full-stack projects.