Krishna Yadav

I’m a backend-focused Computer Science undergraduate who enjoys building scalable APIs, distributed systems, and AI-driven applications. I love strong system design fundamentals, performance optimization, and taking end-to-end feature ownership.

As a Software Development Intern at Devdoot, I designed and deployed RESTful APIs using Node.js, Express, and MongoDB, handling concurrent requests with sub-100ms latency. I implemented JWT-based authentication and role-based access control, then reduced API latency by 10–15% through query indexing, optimized projections, and connection pooling.

I build practical AI products with reliable backend workflows—like AutoX, where I automated contextual tweet replies using LLMs and reduced manual effort by 80%. I also used Redis caching to cut redundant API calls and reduced LLM cost by 40%, with async task queues for smooth rate-limited execution.

I’m actively strengthening Data Structures & Algorithms through competitive programming, and I’m excited by challenges that need high-performance problem solving. I’m a Smart India Hackathon 2025 finalist (36-hour constraints) and I earned a leadership certificate for initiative and team collaboration.