Suraj Kumar

Kharagpur, IN.

Work

Bluestock Fintech

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SDE Intern

Highlights

Collaborated across teams to develop a dynamic IPO web application, deploying and optimizing a platform for over 80,000 customers to ensure seamless scalability and robust performance under high-traffic conditions.

Streamlined performance optimization workflows for 1,500+ daily active users and deployed an adaptive IPO web application leveraging JavaScript, React.js, and Node.js to enhance user experience and interactivity.

Integrated real-time data pipelines for all NSE-listed stocks and indices using RESTful APIs and WebSocket protocols, enabling seamless updates, accurate market trend tracking, and comprehensive financial market coverage.

Education

Indian Institute of Technology Kharagpur (IIT KGP), West Bengal

ā†’
B.Tech Industrial and Systems Engineering (ISE) Grade: 7.47

Skills

Languages, Framework/Tools

C/C++, Python, SQL, Javascript, HTML, CSS, React.js, Node.js, Express.js, MongoDB, API.

Computer Fundamentals

Data Structure and Algorithm, Object-Oriented Programming, Operating System, Database.

Core Subjects

Programming and Data Structures, Probability and Statistics, Advance Calculus, Statistical Learning with Applications, Introduction to Innovation and Entrepreneurship, Simulation and Game Theory.

Projects

Jobify Full-stack Application

Summary

Engineered a job management platform, reducing job record processing time by 40%, including 100+ job postings. Executed a highly performant and 100% efficient API using Node.js and Express.js ensuring seamless interaction. Integrated frontend using ReactJs resulting in a 40% reduction in loading time and seamless user experience. Build role specific APIs for admin and normal user respectively and added JWT authentication for securing APIs.

Covid-19-tracker Dashboard application

Summary

Designed an interactive COVID-19 website, using APIs to deliver real-time stats for 200+ countries and regions Optimized real-time API calls and implemented efficient data caching, reducing website load times by 40% Built a fully adaptive website with CSS media queries and flexible layouts, boosting mobile traffic by 30%

Rubiks Cube Solver

Summary

Designed and implemented a structure representing 43 quintillion Rubik's cube states using OOPs in C++ Applied BFS and DFS algorithms to systematically explore all 43 quintillion possible states of a Rubik's Cube Optimized the included algorithm efficiency by reducing redundant computations, lowering memory usage by 20% Mastered version control tools, managing 100+ iterations with CLion and GitHub for seamless collaboration