About Me
I am a software engineer specialized in full-stack web development. I thrive on creating innovative solutions and bringing ideas to life. I'm interested in all things tech, including ML/AI, UX/UI Design, Cloud Computing, etc.
I obtained a B.S in Computer Science degree from California State University, Long Beach in December 2024.
Languages: C++, Python, C#, Java, JavaScript, SQL, HTML, CSS, C
Frameworks: Web: React.js, RESTful API, Angular, TypeScript, Vue.js, Next.js, Node.js, Django, Bootstrap, Tailwind, ASP.NET, JSX
ML/Data: Pandas, NumPy, PyTorch, TensorFlow, Scikit-Learn, Matplotlib
Tools: Git, GitHub, Jira, Trello, Visual Studio, VS Code, Jupyter Notebook, Google Colab, Linux/Unix, Figma, Docker, Kubernetes, Google Cloud, AWS, MongoDB, PostgreSQL, Postman
Experience
Frontend Developer Intern
Connectyfi
1/2025 - 3/2025
- - Created and implemented UX/UI designs and prototypes using Figma, Svelte, Tailwind CSS, React.js, Vue.js, and HTML
- - Participated in design reviews, user testing sessions, and rapid prototyping cycles and mapped out user journeys
- - Conducted usability testing with tools like Miro and BrowserStack to ensure optimal cross-browser compatibility
Full Stack Software Development Intern
Panasonic Avionics Corporation
6/2024 - 10/2024
- - Developed Multipart Upload Console App utilizing ASP.NET Core, React.Js, HTML, CSS, AWS S3, and Agile Methodology and added features to the Hangar Developer Program web application to allow customers to upload and manage large application files for testing and verification.
- - Implemented help ticket system features to support uploading and downloading ticket attachments, utilizing C# and React.js; Tested and troubleshot code and breakpoints on production server to ensure seamless functionality
- - Collaborated with front-end and back-end developers to produce seamless and secure end-to-end experience
Coding Instructor
Code Ninjas
1/2024 - 4/2024
- - Guided and inspired students, aged 7-15, in mastering computer programming through a nine-level gaming curriculum involving C# and JavaScript, using strong communication skills
Machine Learning Intern
Verizon Wireless
8/2023 - 12/2023
- - Achieved 97% accuracy on an image-based similarity tool which identifies the most similar images of various devices, in a team of 4
- - Utilized Pytorch framework, numpy, huggingface and pandas Python libraries to build, train, and test multiple YOLOv8 models and an Image Classification model
- - Collected images and utilized scripts for data preprocessing before model training; Implemented hyper-parameter tuning to determine best model performance
Projects
CourseHub
A collaboration platform for college students to join, create, post, and comment on channels
Tools: React, HTML, Tailwind CSS, Python Flask, MongoDB, Supabase, Figma, SQL
Source Code: Click Here
MyGraph
MyGraph is a Python-based framework built using the NetworkX library to manage, analyze, and simulate complex networks. It provides several features for graph creation, shortest path calculation, epidemic simulation using the SIR model, and visualizations.
Tools: Python NetworkX
Source Code: Click Here
Home Ownership Prediction
This project demonstrates a binary classification task, predicting whether an individual is likely to be a homeowner based on various features like income, age, and workclass. I prepared a dataset in order to create, train, and test a Random Tree Classifier model and a Logistic Regression model.
Tools: Python Pandas, NumPy, Seaborn, Matplotlib
Source Code: Click Here
FinDash
A dynamic financial dashboard for business finance tracking, implementing secure API routes and PostgreSQL integration for real-time analytics.
Tools:Next.js, NextAuth.js, TypeScript, React, SQL, PostgreSQL, Tailwind CSS
Source Code: Click Here
Arcade
A game center web app providing access to various games, all in one place
Tools: Next.js, Node.js, HTML, MongoDB
Source Code: Click Here
View more of my work on GitHub
Contact
Interested in collaborating or have an opportunity in mind? Let's chat!