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Steven YeEMAIL AVAILABLE New York, NY PHONE NUMBER AVAILABLEEDUCATIONBoston UniversityMaster of Science in Software Development Aug Street Address  - Dec 2023(Expected) Columbia UniversityMaster of Science in Enterprise Risk Management Sep Street Address  - Dec 2022 Pennsylvania State UniversityBachelor of Science in Economics Aug 2017 - Aug 2021 SKILLSLanguage:, Python, Java, Javascript, HTML, CSS, SQL Technical: GitHub, MySQL, React.JS, Node.js, MongoDB, Express.js, TailwindCss, MaterialUI, Vite, AWS, GCP, DockerMOOC Certificates: Fundamentals of Software Engineering Certificate by Carnegie Mellon University PROFESSIONAL EXPERIENCESoftware Engineer Intern - Meta-Securities US LTD, New York, NY Jun 2022 - Aug 2022 Developed a dynamic widget using React.js for Recently Added cryptocurrency in an interactive web application, providing more intuitive information on UI for users Built a RESTful API using Python Flask which delivered recent prices of certain cryptocurrencies from MongoDB database, integrating with existing plotting functionality to visualize the results Implemented a swap function in JavaScript to enable users to exchange cryptocurrencies, increasing the number of daily active users Worked closely with team members utilizing Git/GitHub for version control and code review, adhering to Agile development principles for efficient team development process Teaching Assistant - Columbia University, New York, NY Sep 2022 - Dec 2022 Actively supported professors in delivering Quantitative Risk Management courses to graduate students, contributing to a deeper understanding of complex concepts Conducted office hours and review sessions to address students' questions and clarify course material, fostering a collaborative and supportive learning environmentPROJECTSAI-Image-Generator - (Vite.js, React.js, TailwindCss, Node.js, Express.js, MongoDB) https://visualyestudio.com/ Developed a full-stack web application that allows users to browse through a collection of imaginative and visually stunning images generated through the use of natural language prompts Utilized React.js for the front-end user interface, Express.js for server-side routing and middleware, Node.js for server-side JavaScript runtime environment, and MongoDB for database management Integrated the OpenAI API to generate images based on user input and implemented and database management with MongoDB for reliable image storage and image sharing within the community Implemented a search feature for filtering images based on user's name or prompt and a download feature enabling users to download images directly from the web YouTube Clone Application - (React JS, Material UI 5, RapidAPI) https://github.com/Snow-Ye/youtube-clone Developed a functional YouTube clone application using React, Material-UI, and the RapidAPI, allowing users to browse and search for YouTube videos Built reusable components such as VideoCard, ChannelCard, and Loader, improving code maintainability and modularity Implemented video playback functionality using ReactPlayer, enabling users to watch, control, and interact with videos in a user-friendly interface similar to YouTube