Open to opportunities

rathina devan

@rathinadevan1

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Final-year Computer Science student skilled in backend, distributed systems, and cloud-native applications.

India

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What I'm looking for

I seek roles building scalable backend and cloud-native systems where I can apply distributed systems, DevOps practices, and AI-enriched data pipelines while growing toward SRE or platform engineering.

I am a final-year Computer Science and Engineering (Honors) student with a 9.0 CGPA, focused on backend development, distributed systems, and cloud-native applications. I bring hands-on internship experience building scalable data pipelines and backend services, and have driven measurable improvements—such as a 95% backend stability increase through Celery orchestration refactoring and defensive error handling.

I have delivered production-ready solutions using Python, Django, Flask, AWS, Docker, Kubernetes and Terraform, and contributed to team projects including serverless email automation and a UIDAI-compliant client-side face authentication system shortlisted in the Smart India Hackathon finals. I pursue secure, scalable systems and enjoy combining AI enrichment, robust schemas, and automated QC to deliver reliable data workflows.

Experience

Work history, roles, and key accomplishments

Current

Product Development Intern

Current

Prudent AI

Apr 2025 - Present (6 months)

Architected a scalable data pipeline and AI enrichment modules to process high-volume IRS document batches asynchronously, improving backend stability by 95% and reducing post-processing errors through refactored Celery orchestration and defensive Django error handling.

Python Django Celery Redis Pydantic PostgreSQL Distributed Systems

Education

Degrees, certifications, and relevant coursework

Sri Venkateswara College of Engineering

Bachelor of Engineering, Computer Science and Engineering

2022 -

Grade: CGPA 9.00

Pursuing a B.E. in Computer Science and Engineering (Honors) with a current CGPA of 9.00, focusing on backend development, distributed systems, and cloud-native applications.