Vigneshwarran .s

Computer Science undergraduate with strong foundations in Data Structures & Algorithms, distributed systems, and applied ML. Experienced in building end-to-end ML pipelines and scalable backend systems, with hands-on work in computer vision and speech signal processing. Seeking to leverage distributed ML pipelines and signal processing expertise to solve complex industrial analytics challenges.

SWE Co-Op Intern at AlgoUniversity (YC S21) (2025-07 – 2025-09)

Built and deployed full-stack Online Judge and isolated code execution pipeline with AI integration

• Built and deployed a full-stack Online Judge (MERN) on Vercel and Render with Auth0 authentication and MongoDB Atlas, scaled to 120+ concurrent users and used as official infrastructure for 2 competitive programming events; developed iteratively via Agile/Scrum with mentor-driven sprint reviews
• Designed an isolated code execution pipeline on AWS EC2 + ECR supporting multi-language execution, real-time feedback, and code diff evaluation; integrated Gemini AI for context-aware coding hints.

B.Tech in Computer Science and Engineering (Artificial Intelligence) – Amrita Vishwa Vidyapeetham, Chennai (2023-08 – 2027-05)