Computer Science Distributed Systems

Raghavendra Dubey

Long Beach, CA-***** 562-***-**** *************@**********.*** LinkedIn GitHub Portfolio EDUCATION

California State University, Long Beach Long Beach, CA Jan 2023–Dec2024 Master of Science, Computer Science

Kalinga Institute of Industrial Technology India Jul 2017– Jul 2021 Bachelor of Technology, Computer Science

TECHNICAL SKILLS

Programming Languages: C, C++, Java (JDK8+), C#, Python. Frameworks & DB: Spring Boot, Spring Core, Spring Batch, Hibernate, Express, Next.js, React.js, Redux, Vue.js, Node.js, AngularJS, Fault Tolerant, Tailwind, Angular, RDBMS, SQL, PostgreSQL, Django, MongoDB, No-SQL, Docker, Performance Engineering. Technologies: JavaScript (ES6), TypeScript, HTML, CSS3 (Sass), XML, GraphQL, Jenkins, CI/CD, API Creation, AWS (S3, EC2, Lambda). Others: Figma, Scalable Systems, Mobile & Web development, Unix, Linux, Troubleshooting, Agile SCRUM, Large-Scale System Design, UI/UX Design, Junit, Data Structures, Optimization, Algorithms, Performance Optimization, Distributed Systems. WORK EXPERIENCE

Graduate Assistant for CSULB Upward Bound Program Cal State Long Beach Long Beach CA Aug 2023 – Present

Designed and implemented scalable web-based student management tools leveraging distributed systems principles, ensuring efficient data handling for 150+ students.

Implemented unit testing using JUnit, ensuring code quality and reducing bug incidents by 20% & improved the efficiency of student management tools using optimized SQL queries. Software Engineer Credera India Dec 2020– Dec 2022

Gained expertise in front-end development using AngularJS, HTML5, CSS, Bootstrap and Java during a rigorous internship; also gained valuable exposure to cloud & Docker, significantly boosting technical skill set in distributed systems.

Collaborated cross-functionally with R&D, Product, and Customer Success teams to resolve escalated technical issues, providing feedback that resulted in a 20% increase in customer satisfaction.

Contributed to building fault-tolerant distributed storage and indexing systems, reducing downtime by 25%.

Designed and developed low-latency, scalable RESTful APIs using Spring Boot & Express, improving backend functionality for large-scale distributed systems.

Enhanced distributed system performance through advanced optimization algorithms and efficient load balancing techniques.

Played a key role in cross-team collaboration, offering product feedback and working on product enhancement requests to ensure the continued evolution of client solutions.

Applied optimization mathematics techniques like linear programming to fine-tune SQL queries, achieving 20% better database performance

Managed and queried large data sets using SQL for web-based applications, optimizing data retrieval processes and enhancing the performance of backend systems for large-scale distributed environments.

Deployed scalable applications on AWS using Docker and Kubernetes, and configured CI/CD pipelines using Jenkins, streamlining the deployment process, improving scalability, and reducing deployment time by 40%. PROJECTS

Portfolio Website (Next.js, Node.js, Express, Three.js, GSAP, Aceternity UI) Portfolio_Link Apr 2024 - Aug 2024

Developed a personal portfolio website using Next.js as the backend framework, demonstrating proficiency in server- side rendering and scalable API creation.

Created interactive 3D animations and graphics using Three.js, enhancing visual appeal and user engagement by 40%.

Implemented smooth animations and transitions using GSAP, providing a seamless and dynamic user experience, resulting in a 30% increase in session duration.

Decentralized Voting Application (Ethereum, Solidity, ReactJs) Github Link Aug 2023 – Dec 2023

Collaborated with a team to enhance voting security and transparency by integrating Ethereum blockchain, achieving a 95% tamper-proof voting process.

Improved reliability with a Solidity smart contract, reducing potential voting errors by 80%.

Boosted user engagement by developing a responsive ReactJS frontend, increasing user interaction by 35%.

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