
Ratan Julme
@ratanjulme
Backend engineering intern at Student Tribe who built a production FastAPI backend and cut response latency by 75%.
What I'm looking for
At Student Tribe, I developed Python data validation workflows across three AI/ML projects and identified more than 50 defects. My process improvements reduced recurring defect categories by 30%.
I built and deployed Restaurant AI, a production FastAPI backend with four or more REST endpoints and a three-layer architecture. By restructuring queries and optimizing the pipeline, I reduced average response latency from 800ms to under 200ms.
I also developed backend logic and REST-style API integrations for CampusPulse, including a normalized MySQL database that reduced average query execution time by 40%. I’m eager to apply my backend engineering skills in health tech, where reliable APIs and data integrity support patient and user outcomes.
Experience
Work history, roles, and key accomplishments
Data Validation and Quality Assurance Intern
Student Tribe
Mar 2026 - Present (8 months)
Developed and executed Python-based data validation workflows across 3 concurrent AI/ML projects, achieving 100% on-time delivery with zero SLA breaches. Identified 50+ defects through systematic debugging and reduced recurring defect categories by 30%.
Education
Degrees, certifications, and relevant coursework
Gokaraju Rangaraju Institute of Engineering and Technology (GRIET)
Bachelor of Technology, Artificial Intelligence & Machine Learning
2022 -
Pursuing a Bachelor of Technology in Artificial Intelligence & Machine Learning, expected to graduate in 2026.
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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