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Chitransh K. — Junior Full-Stack Software Engineer from India

Chitransh K.

Junior Full-Stack Software Engineer

India No experience yet
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About

Chitransh K. is a Full-Stack Software Engineer specializing in the development of scalable, production-ready web applications. He possesses a robust foundation in Computer Science, as evident from his Bachelor of Technology in Computer Science and Engineering from the Indian Institute of Information and Technology, Ranchi, where he maintained a notable CGPA of 8.46. Chitransh is proficient in multiple programming languages, including C, C++, JavaScript, and TypeScript, and has extensive experience with modern frameworks such as React.js and Next.js. His accomplishments include building a real-time interview platform and a stock tracking application that incorporate secure backend APIs and responsive frontends. He has demonstrated expertise in utilizing tools like Node.js, Express.js, and MongoDB, and has solved over 500 algorithmic problems, maintaining high competitive programming ratings on platforms such as LeetCode and codechef. Chitransh's projects reflect his ability to architect reliable systems with features such as authentication, real-time functionalities, and event-driven notifications.

Experience

  • Software Engineer

    Interview Platform · 2026 — 2026
    Developed a production-ready real-time interview platform that enabled live coding, video calls, and secure interview sessions. Designed 1-on-1 interview rooms featuring participant limits, room locking, screen sharing, and recording capabilities. Created secure REST APIs using Clerk authentication with role-based access control. Implemented Inngest background jobs for reliable synchronization between Clerk and MongoDB to maintain data consistency.
  • Software Engineer

    SIGNALIST · 2025 — 2025
    Engineered an AI-driven stock market analytics platform that tracked real-time prices, trends, and company insights. Established an automated email notification system that provided real-time stock alerts, watchlist updates, and AI-generated market summaries through event-driven workflows. Architected the application using advanced Next.js routing and a modular component structure to enhance scalability and maintainability. Utilized Inngest for event-driven background workflows encompassing alert scheduling and automated summaries to ensure system reliability.

Skills & Expertise

Education

  • Bachelor of Technology in Computer Science and Engineering
    Indian Institute of Information and Technology, Ranchi · 2023 — 2027

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