Bhavya Sri
@bhavyasri1
Final-year CS student; backend developer with Amazon SDE internship experience.
What I'm looking for
I am a final-year Computer Science student focused on backend development and cloud-native systems, with two Amazon SDE internships where I built production-grade services using Java, Spring Boot, AWS, and RESTful APIs.
At Amazon I reduced configuration rollout time by 40% with a self-service AppConfig UI, automated 18+ SOP workflows via a GenAI-driven RAG service, and built scalable APIs to process thousands of SQS messages daily while improving reporting and reliability.
I emphasize strong CS fundamentals in data structures, algorithms, and system design, maintain high test coverage and code quality, and seek roles where I can design reliable, scalable backend systems and continue growing in cloud-native architectures.
Experience
Work history, roles, and key accomplishments
Built a self-service Enterprise AppConfig UI used across 6+ AWS accounts, reducing configuration rollout time by 40% and eliminating manual approval dependencies; engineered a GenAI-driven RAG SOP automation service that automated 18+ workflows and cut manual decision effort by 30%.
Automated extraction and processing of large DynamoDB datasets reducing manual reporting effort by 50% and built a scalable API to consume SQS messages and persist data into DynamoDB, processing thousands of messages per day with improved reliability.
Education
Degrees, certifications, and relevant coursework
Madan Mohan Malaviya University of Technology
Bachelor of Technology, Computer Science and Engineering
2022 -
Grade: 7.5 CGPA
Activities and societies: Secretary, The Social Engineers’ Board; participated in projects and internships focused on backend services and AWS.
Pursuing a B.Tech in Computer Science and Engineering with focus on backend development, cloud-native systems, and software engineering principles; current CGPA 7.5.
S.M.D.D.S.B.S. Inter College
Intermediate, Intermediate (Higher Secondary)
Grade: 90%
Completed Intermediate with a percentage of 90%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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