Ujjwal Mishra

Software Developer
Allaudinpur post Mangalpur Varanasi, 221107, Varanasi, India.

About

Work

Shiksha Society, National Institute of Technology Kurukshetra
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Volunteer

Ereck Society, National Institute of Technology Kurukshetra
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Technical Team Member

Education

National Institute of Technology, Kurukshetra

→

B.Tech

Electrical Engineering

Grade: 8.8333

S.S.S. Govindpur Rohaniya Varanasi

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12th Standard

U.P. Board

Grade: 80.0%

St. John's Hindi School Lohata Varanasi

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10th Standard

U.P. Board

Grade: 86.5%

Awards

Adobe GenSolve, Round 2

Awarded By

Adobe

Selected for Adobe GenSolve, Round 2 by ranking in the top 5% among 22k+ participants.

Meta Hacker Cup

Awarded By

Meta

Ranked 1265 globally in Meta Hacker Cup Round 1 and 3636 in Round 2 and World Rank of 1321 out of 35k+ participants in CodeForces 943 Div 3 Contest.

Knight (2080 Rating)

Awarded By

LeetCode

Knight (2080 Rating) on LeetCode, 1792 Rating on CodeChef, 5Kyu (1103 Rating) on Atcoder.

LeetCode Biweekly Contest

Awarded By

LeetCode

Got world rank 225, 232 out of 40k+ candidates in LeetCode Biweekly Contest 133 and Biweekly Contest 137.

Skills

Languages

C++, SQL, Javascript.

Frameworks & Tools

Data Structures, Algorithm, React.js, Node.js, Express.js, CSS, GitHub.

Projects

Virtual Vibe

Summary

Successfully developed a robust video meeting application using WebRTC, Node.js, Express.js, MongoDB, incorporating secure Google authentication via Passport.js. Efficiently enabled meeting creation, joining, and seamless link sharing, featuring a responsive and intuitive UI for an enhanced user experience across devices. Implemented advanced features such as screen sharing, real-time chat, and session recording, further enhancing the functionality and user engagement of the platform.

Bookstore

Summary

Designed and implemented a structured relational database to manage books, customers, and orders efficiently, ensuring optimal data organization and retrieval. Developed complex SQL queries using JOINS, Aggregations, Window Functions, and Subqueries to extract meaningful insights from the dataset. Optimized data operations with indexing and query tuning, improving database performance and scalability for large datasets. Imported bulk data using the COPY command, streamlining data integration from external sources for seamless updates and analysis.

Movie Explorer

Summary

Developed a comprehensive movie search app using React and Redux, enhancing performance and user experience. Implemented advanced state management techniques with Redux, providing a seamless and highly scalable solution for efficiently managing application state in a real-world production project. Integrated a third-party API for detailed movie data and implemented advanced Redux state management for scalability.