Software Developer Intern

Ayush Pravin Yelne

213-***-**** *****@***.*** https://www.linkedin.com/in/ayushyelne/ https://github.com/ayushyelne Education

University of Southern California Los Angeles, CA

Masters of Science in Computer Science Aug. 2023 – May 2025 University of Mumbai Mumbai, India

Bachelor of Engineering in Information Technology (CGPA: 3.68/4) Aug. 2019 – May 2023 Technical Skills

Languages: C, C++, C#, Java, Python, JavaScript, SQL, MySQL, HTML, CSS, MongoDB, TypeScript, Postgres, Solidity, Swift

Frameworks: React, Angular, Node.js, Flask

Developer Tools: Git, Docker, AWS, Google Cloud Platform, Visual Studio, JIRA Experience

Software Developer Intern June 2022 – Dec 2022

Future Fitness Technology Mumbai, India

• Engineered an agile development approach for the company’s website using React, Node.js, and MongoDB; increased traffic by 30% and reduced server response time by 50%, significantly improving site performance..

• Built RESTful APIs with Node.js and Express.js to optimize client-server communication; reduced API response time by 40% and increased scalability to handle 2x more users concurrently.

• Implemented CI/CD pipelines with Jenkins, using Docker and Kubernetes for scalable microservices architecture. Software Developer Intern Dec. 2021 – March 2022

OCC Edusoft Mumbai, India

• Architected a sophisticated car rental system leveraging PHP and Flask for backend, and Vue.js and React.js for frontend; boosted platform engagement by 30% and cut development cycles by 15%

• Optimized rental service operations by integrating Google Maps for geolocation services, improving route efficiency by 20% and cutting transportation costs by 15%.

• Utilized Amazon Web Services (AWS) for cloud hosting and managed services, ensuring high availability and reliability of the car rental platform.

Projects

Stock Insight AngularJS, NodeJS, TypeScript, Bootstrap, MongoDB, Git, GCP, Docker March 2024 – May 2024

• Developed ”Stock Insight,” a financial web app using Angular and Node.js for real-time stock data visualization and portfolio management.

• Streamlined a custom caching mechanism with Node.js to reduce API call frequency by 25%, lowering operational costs and enhancing application scalability.

• Automated deployment processes using Docker and Kubernetes, which minimized deployment errors by 90% and expedited rollouts of new features by 50%.

• Enhanced financial data visualization by integrating Highcharts, increasing interactive chart responsiveness and detail by 50%.

One Stop Shop React, Node, MongoDB, Bootstrap, Redux June 2021 – Nov 2021

• Crafted a high-performance web app using React.js and Node.js, enhanced by MongoDB for data efficiency.

• Implemented real-time data synchronization, user authentication, and interactive data visualization.

• Achieved a 25% speed boost and 30% increase in user engagement through optimized operations.

• Designed and developed user authentication and authorization systems, employing JWT and OAuth for secure and seamless user login and registration processes.

Smart Attendance System Python, Flask, MySQL, OpenCV, Docker Jan 2023 – April 2023

• Developed a robust Attendance System integrating Machine Learning and facial recognition technologies with TensorFlow and OpenCV.

• Implemented SVM for precise facial feature extraction, achieving 95% recognition accuracy.

• Utilized algorithms like KNN, decision trees, and random forests to optimize student attendance monitoring.

• Used CNNs to boost facial recognition accuracy in the Attendance System, achieving a 98% recognition rate.

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