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Software Engineer with less than a year in Fullstack Development, Data Science, and Competitive Prog
A proactive B.Tech student in Computer Science and Engineering, excelling in competitive programming with 300+ LeetCode and 100+ GFG problems solved. Possessing a strong foundation in data structures, algorithms, and object-oriented programming, coupled with practical experience in building full-stack web applications and machine learning projects. Demonstrated ability in integrating remote code execution engines, optimizing database queries, and developing predictive models for real-world datasets.
Rajiv Gandhi Institute of Petroleum Technology
B.Tech. · Computer Science and Engineering
August 1, 2023 – June 30, 2027
Kendriya Vidyalaya Maithon Dam
CBSE Board
June 1, 2021 – May 31, 2022
Kendriya Vidyalaya Maithon Dam
CBSE Board
June 1, 2019 – May 31, 2020
RUBIK'S-CUBE solver
January 1, 2023 – June 1, 2026
Developed a solution for Rubik's Cube by uploading images of the 6 faces of the cube. Implemented data preprocessing, visualization, clustering, and classification workflows to extract insights and build predictive models for real-world datasets.
View ProjectPaddle
January 1, 2023 – June 1, 2026
Created a full-stack course-selling platform built with MERN, enabling secure course purchases and user management. Served 100+ users with secure course management. Designed a RESTful API with Node.js and Express.js, reducing the response time by 40% through optimized database queries.
View ProjectCodeJudge
January 1, 2023 – June 1, 2026
Developed an online DSA problem coding platform with a containerized remote code execution engine. Built a full-stack coding platform featuring an interactive split-pane IDE workspace for real-time multi-language execution (C++, Python, JS). Integrated a sandboxed Dockerized Judge0 engine to securely isolate untrusted user code execution and enforce strict CPU/memory limits. Structured relational database schemas via Prisma ORM over PostgreSQL to reduce query latency by 30%, locking critical submission endpoints with Better-Auth guards.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in diverse technical areas, from full-stack web development to machine learning and competitive programming. This breadth of interest and willingness to tackle varied challenges suggests adaptability and a proactive learning attitude, which are positive indicators for cultural fit in a dynamic engineering environment. Involvement in sports and student chapters also points to a collaborative and engaged personality.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems. The 'Positions of Responsibility' section suggests leadership potential and involvement in extracurricular activities, which can translate to good team collaboration and organizational skills. The psychometric test score (304/500) indicates average performance in areas like logical reasoning and work attitude, which might require further validation during an interview. The English test score (87/100) suggests good communication clarity.