React Js Software Engineer

ARNAV RAVIRAJ

480-***-**** ********@***.*** linkedin.com/in/arnavraviraj github.com/Araviraj8 Portfolio EDUCATION

Arizona State University, Tempe, AZ – M.S. in Computer Software Engineering August 2022 – May 2024 Vellore Institute of Technology, Vellore, India – B.Tech in Electronics and Communication Eng. July 2014 – May 2018 TECHNICAL SKILLS

Languages and Databases: Java, JavaScript, Python, C, JavaScript, TypeScript, MySQL, MongoDB, PostgreSQL, PHP, CSS. Frameworks: Express.js, Node.js, React.js, Java Spring Boot, Next.js, PyTorch, Rest API, Jenkins, Django. Technologies: Git, Docker, AWS, Kafka, Kubernetes,Nginx, CI/CD, Junit, PyTest. EXPERIENCE

AI-ML/Back-End Engineer Intern June 2024 – Present Flow Global Software Technologies Wilmington, Delaware

• Collaborated with the engineering team to design, engineer, and implement back-end API on Django Framework.

• Orchestrated and stored B2B lead source databases with LinkedIn using PostgreSQL to improve efficiency by 15%.

• Contribute to the overall architecture and design of the back-end systems by configuring and maintaining cloud computing platforms for live production deployment and supporting the platforms and services. Technology Analyst, Infosys Limited, Bengaluru, India February 2021 – June 2022 Infosys Limited Bengaluru, India

• Implemented Nginx as a reverse proxy and load balancer for a Django and PHP application, optimizing static file serving and reducing server load by 20%, leading to faster request handling and improved response times.

• Integrated Kafka for real-time event streaming in Django and PHP, utilizing kafka-python and PHP Kafka clients to reduce event processing latency by 30%, and deployed both applications on Kubernetes, achieving 99% uptime with auto-scaling for high traffic.

• Optimized databases using PostgreSQL for Django and MySQL for PHP, improving query execution times by 15%, and developed a responsive frontend with React.js, increasing session duration by 12% while reducing deployment time by 40% with CI/CD pipelines in Kubernetes.

Senior Software Engineer January 2020 – February 2021 Infosys Limited Bengaluru, India

• Created server-side application to interact with database using Java Spring Boot and used REST controller to create RESTful Web Services and JSON objects for communication, increasing delivery efficiency by 15%.

• Streamlined SDLC by implementing a robust CI/CD pipeline leveraging Jenkins, slashing release cycles by 20% and improving deployment efficiency by 30%, accelerating time-to-market and overall project productivity.

• Ensured consistency and seamless user experience by developing test cases in JUnit for unit testing and integrated automated unit testing into the build process, to run unit tests automatically, significantly improving usability. Software Engineer December 2018 – January 2020

Infosys Limited Bengaluru, India

• Enhanced the scalability and performance of an outdated online travel portal using the MERN stack, resulting in a 20% decrease in system response time and a 30% increase in the capacity for simultaneous users.

• Restructured responsive web pages with React.js, achieving a 12% increase in visitors compared to LFY.

• Engineered a robust MongoDB database architecture to streamline the storage of customer information, optimizing retrieval processes and improving data security, resulting in an 11% boost in operational efficiency. ACADEMIC PROJECT

Capstone Project Spring 2024: 5G Network Intrusion Detection Research Project January 2024 – May 2024

• Amplified 5G network security by training AI/ML models on 5G-NIDD data, boosting intrusion detection accuracy by 30% and optimizing models with advanced data processing, reducing training time by 20%. Scikit-learn, XGBoost, Data Processing PUBLICATION

Real-Life Implementation of Text Summarization Technique 10.23919/INDIACom54597.2022.9763270 May 2021 – May 2022

• Published at the 2022 IEEE Conference on Computing for Sustainable Global Development, implementing the SumBasic algorithm for concise summaries and highlighting term, phase, concept, and pattern-based approaches in text mining.

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