Deforestation Detector https://deforestationdetector.com/
An educational 3.js experience designed to spread awareness about
deforestation in the amazon rainforest. Created an ensemble transfer
learning neural network to perform multi-label classification.
Marine Mammal Classifier https://github.com/sedwardsmarsh/Marine-Mammal-Classifier
I scraped audio files from Watkins Marine Mammal Sound Database, and
converted the files to spectrograms. Then I trained a neural network
using fast.ai to classify those images into the different classes of
Mammals.I scraped audio files from Watkins Marine Mammal Sound
Database, and converted the files to spectrograms. Then I trained a
neural network using fast.ai to classify those images into the
different classes of Mammals.
Experience
Software Engineer
SN&N Electronics, Inc. Morgan Hill, California, United States
While working at SN&N, I learned about API Development, Software
Development and Testing. Contributed actively to open source projects
for medical device research and collaborated with experienced
developers. Conducted thorough testing of GUIs and programmed APIs for
embedded devices.
Undergraduate Researcher
University of California, Santa Cruz
Santa Cruz, California, United States Remote
While completing my B.S. degree at UCSC, I worked alongside PhD
Student Jon Detka and the UCSC AgTech Team under Marcella Gomez. Jon
was studying disease propagation throughout maritime chaparral biomes.
I created an ML pipeline to analyze time series weather data from Fort
Ord to model leaf wetness for his disease propagation studies. Jon's
work is expected to be published in 2023.
Club Member
Santa Cruz Artificial Intelligence
Santa Cruz, California, United States Remote
As a member of the club, I built a CNN-BiLSTM Neural Network with my
club partner Donovan Henry. We replicated the architecture proposed by
the DeePromoter paper and used a similar dataset of nucleotide base
pairs. More info about our project, "Hide and Seq", can be found in
the link to the repository below.