Jeremy Rico
Software engineer specializing in artificial intelligence, machine learning, and full-stack web development
Software engineer specializing in artificial intelligence, machine learning, and full-stack web development
I am a software engineer currently living in Silicon Valley working on AI projects related to computer vision and speech recognition for Uniquify, Inc. I also do full-stack work on web development projects for individual clients, small businesses, and sometimes just for fun!
Outside of programming I enjoy playing ice hockey, producing music (check out my other site here!), and reading trashy romance manga ¯\_(ツ)_/¯
If you have an idea for an artificial intelligence and/or web based project, please feel free to contact me!
As an engineer, I got to work on a bunch of cool computer vision and speech recognition projects. I'm not allowed to talk about the details too much though! I also dabbled in full-stack web development which I mainly do on the side now.
During my internship, I learned how to architect artificial neural networks, apply computer vision algorithms to everyday use cases, and play 8 ball. I grew a lot as a professional (and as a person) and made some new friends!
Reinforced my coding foundation by assisting in an undergraduate intro to object oriented programming course. Here, I tutored students during lab sessions, graded student projects, wrote unit tests, and pulled my hair out because of Zoom :)
This project finetunes Meta's object detection transformer, DETR, for a two class problem. It also instruments the code to create a per class f1 score for inference images.
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This computer vision model uses an artificial neural network to identify and localize 60 different types of litter with human-like accuracy. One day it could be used to power a fully autonomous litter collecting robot!
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You're lookin at it! This site was coded all from scratch using HTML, CSS, and Java for the front end and Python with Django for the back end.
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A twist on the classic MNIST classification task. Instead of simply classifying the digits, flip the model and have it generate new handwritten characters. Now your model can read AND write! They grow up so fast! This project was written in Python using Tensorflow and Keras.
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This machine learning model was trained to diagnose breast cancer given a fine needle aspirate sample of breast mass. It was trained using Breast Cancer Wisconsin Diagnostic data set. This project was written in Python utilizing the scikit-learn library.
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Architected, trained, and tested an artificial neural network to read handwritten letters from the EMNIST Letters dataset. This project is written in Python using TensorFlow and Keras.
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Four bots fight for their pitiful lives against time, nature, and other obstacles to harvest as much food as possible for the upcoming winter. All for your entertainment! Will they survive or become another victim of mother nature's indifference? This rule based system was written in a combination of HTML, Java, and LISP.
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A simple Best Search First maze solving AI that navigates an HTML grid like a lab rat. It uses a heuristic function to take the most optimized path to the cheese which it will never taste. The AI algorithm and animation scripts are written in Java.
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C++
JavaScript
HTML5
CSS
Python
Tensorflow
Mario Kart
PyTorch
Django
React.js
Bootstrap
Linux
OpenCV
Bash
Git
scikit-learn
jQuery
