Ranvijay Kumar

• Engineered a POC RAG pipeline to automatically capture and store bug fixes in a database,
allowing LLM-driven retrieval during crashes for faster RCA and reduced resolution time.
• Refactored legacy handler-based logic to Kotlin coroutines, reducing app crashes and improving
responsiveness on android devices under high concurrency.

Diagnosed and resolved high-priority production issues to improve crash-free user rate from 97% to 98.5% and refactored legacy async handlers to Kotlin coroutines to enhance responsiveness under high concurrency.

Led Ashby ATS integration delivering 15+ REST API endpoints, migrated services to OpenAPI 3.0.3 schema for runtime-driven UI and metadata, and integrated OAuth2/OIDC to improve security and stability.

Led Ashby ATS integration, delivering 15+ RESTful API endpoints for candidate management, job postings.
• Migrated integration services from the v1 to v2 JSON schema (OpenAPI 3.0.3); enabling schema-driven UI/UX
improvements and LLM-compatible metadata, replacing static actions with runtime-schema-based actions.
• Resolved high-priority sprint issues and improved system stability in production app

Spearheaded backend POC and database schema optimizations improving query performance by 30%, built a Dockerized Judge0-based execution engine tested for 50,000+ concurrent sandboxes, and implemented Kubernetes autoscaling for faster job scheduling.

• Spearheaded backend POC for a data science Ed-Tech platform, optimizing database schema design for
execution tracking and modularity, achieving a 30% improvement in query performance•
Architected a scalable Python-based code execution engine prototype using Judge0 CE and Docker, planned for
ML/DL workloads and tested to handle 50,000+ concurrent sandboxed executions.

Grade: 3.14

Pursued a Bachelor of Technology in Computer Science and Engineering. Focused on core computer science principles and engineering applications.

Activities and societies: Portfolio, LinkedIn, GitHub; participated in Smart India Hackathon internal round; coding competition achievements on LeetCode, Codeforces, and CodeChef.

Pursuing a B.Tech in Computer Science and Engineering focused on software development, systems, and applied machine learning with project and internship experience in production-grade applications.