Hi, I'm
CS @ CSU East Bay · VP @ GDG & HackHayward
I'm a Computer Science student in the Bay Area focused on building real-world projects using Python, JavaScript, and full‑stack web development. I love turning ideas into clean, user‑friendly experiences.
I'm a Computer Science student specializing in AI/ML, LLMs, and scalable software development. I love turning ideas into real, functional systems—whether it's building intelligent models, designing clean backend architecture, or crafting smooth full-stack experiences.
My work spans Python, Java, C++, React, FastAPI, SQL, and cloud technologies, and I enjoy exploring how modern AI tools and software frameworks can solve real problems. I thrive on learning, experimenting, and transforming complexity into solutions that feel simple, intuitive, and useful.
I've grown through leading and collaborating on technical initiatives where I support others, share ideas, and help bring projects to life. These experiences shaped how I build: with intention, curiosity, and a focus on impact.
At my core, I'm a problem solver who loves to build, constantly exploring new technologies and looking for opportunities to create meaningful, thoughtful software.
California State University, East Bay
Expected Graduation: 2026
Technologies I work with
My journey so far
CSUEB STEM Lab
HackHayward
HackHayward
HackHayward
Google Developer Groups on Campus, CSUEB
College Link Program
A dynamic, interactive single-page portfolio featuring an animated 3D topology background, typewriter effects, scroll-triggered animations, and an interactive experience timeline. Built with modern web technologies including smooth scrolling navigation, responsive design, EmailJS contact form integration, and a custom rocket rain animation effect for an engaging user experience.
Architected a client-server banking application with TCP/IP socket communication supporting ATM and Teller clients with concurrent user access. Implemented multi-threaded server using Executor Service thread pool with synchronized file operations for thread-safe data persistence.
A full-stack AI-powered CRM dashboard that leverages machine learning to provide intelligent insights and analytics. Features real-time data visualization, customer relationship management, and predictive analytics to help businesses make data-driven decisions.
An interactive web app presenting 10 real-life moral scenarios that calculates user honesty and empathy scores. Built with ASP.NET Core Razor Pages, integrated Google Charts API for data visualization, and architected with OOP design using encapsulated Player, Choice, and Scenario classes for extensibility.