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Rajat Kumar Srivastava

@rajatkumarsrivastava

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Backend engineer at CollegeDunia who cut answer-evaluation costs by 96% with a GenAI pipeline.

India

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At CollegeDunia, I optimized the Prepp backend with NestJS, MongoDB, and GraphQL, improving API response time by 20%.

I engineered a GenAI-powered handwritten answer evaluation pipeline using GPT-4 Vision and AWS Textract OCR. It reduced evaluation costs from ₹50 to ₹2 per submission.

I also developed an FFmpeg-based adaptive HLS transcoding pipeline and migrated the payment workflow to Juspay HyperCheckout, integrating REST APIs and webhook signature validation.

In my projects, I analyzed Kubernetes microservice tail latency with eBPF and built a multithreaded C++ network simulator. I'm pursuing an M.Tech in Computer Science & Engineering at IIIT-Delhi.

Experience

Work history, roles, and key accomplishments

Software Development Engineer (Backend)

CollegeDunia

Sep 2024 - May 2025 (8 months)

Optimized Prepp backend using NestJS, MongoDB, and GraphQL, enhancing API response time by 20%. Engineered a GenAI-powered handwritten answer evaluation pipeline and developed an in-house FFmpeg-based adaptive HLS transcoding pipeline.

NestJS MongoDB GraphQL GPT 4 Vision AWS FFMPEG HLS Juspay HyperCheckout REST APIs Webhooks

Education

Degrees, certifications, and relevant coursework

Indraprastha Institute of Information Technology, Delhi

M.Tech, Computer Science and Engineering

2025 -

Grade: 8.63 CGPA

Pursuing M.Tech in Computer Science and Engineering with a CGPA of 8.63. Coursework includes Graduate Algorithms, Graduate Systems, Object-Oriented Programming & Design, and Big Data Analytics.

Madan Mohan Malaviya University of Technology, Gorakhpur

B.Tech, Computer Science and Engineering

2019 - 2023

Grade: 7.58 CGPA

Completed B.Tech in Computer Science and Engineering with a CGPA of 7.58. Coursework included Data Structures, Algorithms, Operating Systems, Databases, Computer Networks, and Machine Learning.