Hi, I'm Xavier! 👋🏼
I'm a Computer Science and Engineeering major studying at Santa Clara University
Projects☟ About Me
Get to know me!
Hi, my name is Xavier and I am a highly ambitious, self-motivated, and driven software engineering student based in Santa Clara, CA.
I am currently a graduate student at Santa Clara University. I just completed my BS in Computer Science and Engineering. I am enrolled in the Robotics and Automation Masters program which I am set to complete by end-of-year 2025.
I have a wide range of hobbies and passions that keep me busy. From learning languages, to watching videos on space and science, to memorizing the lyrics of my favorite songs, I am always seeking new experiences and love to keep myself engaged and learning new things.
I believe you should never stop growing, which is what I strive to do. I have a passion for technology and a desire to push the limits of what's possible. I'm excited to see where my career takes me and am always open to new opportunities. 🙂
My Skills
Python
C
C++
TensorFlow
LLMs
Computer Vision
Sequence Models
NLP
LangChain
Arduino
Git
☟ Project Spotlight
Homework Annotator: Multimodal ML Pipeline
A multi-modal image captioning model that take’s in a user’s input image and returns an appropriate caption. Uses transfer learning to incorporate EfficientNet CNN to encode images and transformer encoder-decoder to encode and generate captions. Image captioning model pre-trained on Flickr30k dataset and fine-tuned on images of written work using Google Colab hardware acceleration.
Microgrid Intelligent Agents: Senior Design Project
Developing a software implementation for autonomous agents in a microgrid environment which regulate power generation and consumption. The project involves understanding the nature of agent communication (bartering, deal-making, negotiation). Research is also being conducted on microgrid systems themselves, PV cells, wind, battery, generators, and loads, in order to better understand how agents can achieve autonomous operation. The agents use deterministic interaction protocols along with forecasting models and reinforcement learning to minimize operational cost to the user.
Deep Learning Specialization
Built and trained deep neural networks, identifying key architecture parameters, implemented vectorized neural networks and deep learning applications. Trained test sets, analyzed variance for DL applications, used standard techniques and optimization algorithms, and built neural networks in TensorFlow. Built a CNN and applied it to detection and recognition tasks, used neural style transfer to generate art, and applied algorithms to image and video data. Built and trained RNNs, worked with NLP and Word Embeddings, and used HuggingFace tokenizers and transformer models to perform NER and Question Answering.
