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.