Computer Science Engineer Intern

Wilson Fong

San Leandro, CA 510-***-**** ************@*****.***

https://www.linkedin.com/in/wilson-fong-4998b5190 https://github.com/wilsonfong56 Education

University of San Francisco, San Francisco, CA Aug 2024 - May 2026 M.S., Computer Science

University of California Irvine, Irvine, CA Aug 2020 - Jun 2024 B.S., Computer Science;GPA: 3.43

Experience

SuperIntro,San Francisco, CA Nov 2024 - Present

AI Engineer Intern

● Developing advanced AI agents and retrieval-augmented generation (RAG) models using OpenAI API, LangChain, and Autogens to power 24/7 networking simulations.

● Engineering scalable backend RESTful APIs with Flask and Express.js, ensuring real-time data handling and integration.

● Enhancing AI performance through innovative prompt engineering, delivering precise and contextually relevant model responses.

● Establish a robust review pipeline using Gemini Pro 1.5, saving structured JSON outputs and storing conversation insights in MongoDB for seamless user access.

Projects

LifeSync Java, Langchain, React, Spring Boot, PostgreSQL Aug 2024 - Present

● Spearheading the development of AI-driven event recommendations using LangChain and OpenAI’s GPT models, which dynamically analyze user schedules and preferences to suggest ideal event times and types

● Delivered natural language processing (NLP) capabilities, enhancing recommendation relevance by 20% through effective prompt engineering.

● Built RESTful API with Spring Boot facilitating real-time synchronization of events between the frontend and Google Calendar, improving system efficiency and scalability.

● Implementing robust ETL processes using PostgreSQL to manage user and calendar data, ensuring high data accuracy across all transactions.

BPS Microscopy Unsupervised Learning Python, PyTorch,TensorFlow May 2023 - Jun 2023

● Developed a scalable data pipeline that processed 77,000 TIFF images, reducing preprocessing time by 40% using parallel processing techniques.

● Implemented PCA and t-SNE for dimensionality reduction, optimizing memory usage and improving training speeds by 25%.

● Achieved a 20% increase in model accuracy by incorporating advanced data augmentation techniques. Hydration App TypeScript, Angular, Firebase Jan 2023 - Mar 2023

● Implemented Firebase Authentication to securely manage user login, using Google, email, and anonymous login options, to prevent unauthorized access to user data

● Restricted data access by configuring Firebase Firestore rules based on user roles, ensuring that only authenticated users with the correct permissions can access or modify specific data.

● Integrated OpenWeather and Apple HealthKit APIs to customize water intake suggestions based on biometric and environmental data.

● Trained a linear regression model using scikit-learn to analyze user drinking habits, enhancing the app’s ability to provide tailored suggestions

Skills

Languages:Python, Java, C++, TypeScript, JavaScript,SQL, CSS, HTML Frameworks:Spring Boot, Langchain, Angular, React,TensorFlow, PyTorch, MVC Databases:PostgreSQL, MongoDB, Firebase

Tools:Git, Maven, Gradle, IntelliJ, GCP, AWS, JUnit,Mockito Protocols:REST, HTTP, WebSocket

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