Sarban Sah
Software Engineering student (Class of 2026) and competitive programmer with a strong foundation in frontend development. Eager to leverage React, JavaScript, and TypeScript to build scalable, user-friendly UI features for Ontic’s AI-powered Connected Intelligence Platform.
Experience
Problem Setter & QA Tester Intern
CodeChef
Bengaluru, India
Collaborate with cross-functional engineering and product teams to identify and resolve logic and UI issues, ensuring high-quality user experiences. Participate in rigorous code reviews, applying feedback to improve code maintainability and adherence to established engineering standards. Debug issues in development environments and assist in performance tracking for platform features serving 100,000+ users.
Education
BMS Institute of Technology and Management (BMSIT)
B.E.
Class of 2026 Cumulative GPA: 8.28 / 10.0 (as of 6th semester)
Skills
PROJECTS
AI-Powered Web Interface (YogaSense)
React.js, JavaScript, HTML, CSS
Built a dynamic, user-friendly frontend interface utilizing React.js, focusing on reusable component design and efficient application state management. Integrated TensorFlow.js directly into the browser, optimizing frontend performance and applying an understanding of browser behavior to ensure smooth rendering. Wrote clean, maintainable UI code and managed the frontend development lifecycle, utilizing bundling and deployment basics.
Full-Stack Intelligence Dashboard (Newsmania)
React.js, TypeScript, REST APIs
Developed scalable user interfaces and integrated frontend flows with backend services using REST APIs and asynchronous programming (async/await). Managed version control via Git/GitHub, actively debugging API responses and improving error handling in the UI layer.
Algorithmic Order Matching Engine
C++, Data Structures
Demonstrated deep understanding of core programming concepts, data structures, and problem-solving by building a highly performant, logic-heavy matching system.
COMPETITIVE PROGRAMMING & ACHIEVEMENTS
LeetCode Guardian (Rating: 2335)
Ranked in the Top 0.3% globally; solved over 1,250 algorithmic problems demonstrating exceptional problem-solving ability.
Codeforces Expert (Rating: 1783)
Consistently participated in global timed contests focusing on high-level algorithmic design.
CodeChef 6-Star (Peak Rating: 2344)
Competed in high-level divisions; achieved top percentiles in standard and weekend dev challenges.