August 2022 - Present
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Developed computer vision model in Python to detect overgrown parcels from roadside imagery,
supporting evacuation planning and vegetation management in wildfire-prone areas of Northern
California.
- Photos are collected automatically from cameras mounted to the side of a car.
- Each photo is automatically classified into a category using PyTorch.
- Photos are assigned to parcels using geotag data.
- Distribution of classifications are used to plan for vegetation management
and outreach to prepare for wildfire.
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Built an AWS-based workflow to access USGS LiDAR data and generate raster inputs for wildfire model.
- Script automates the process of calculating, resampling and assembling rasters.
- Inputs: LiDAR point cloud.
Outputs: Elevation, Slope, Aspect, Canopy Cover, Canopy Height, Crown Base Height, Crown Bulk Density.
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Developed a convolutional neural network in Python to map aerial imagery (PyTorch, Raster Vision, Faster R-CNN).
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Identified hazardous evacuation routes in Tehama County.
- Using a combination of field work and GIS, identified road segments at highest risk during evauation from wildfire.
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Achieved certifications and participated in prescribed burns.
- Managed office IT infrastructure, Google Workspace, and mobile mapping workstations.
- DCR Website
Skills: Python, R, QGIS, ArcGIS, Systems Administration
June 2022 - August 2022
- Developed script to analyze Google BigQuery storage and proposed solution to generate savings of $120k/year.
- (UMG has implemented this project throughout 2023).
- Learned SQL and applied skills for analytics on Big Data.
- Developed data pipeline for UK top artists chart under guidance of senior developer.
Skills: Python, SQL, Google Cloud Platform
Above: Two slides from optimization project presentation (see first bullet point above).
Teaching Assistant at Computer Science Department of Pomona College
January 2022 - May 2022
- Taught Python to college students in Intro CS.
- Ran 2 hour weekly mentor sessions, led 3 hour weekly class labs, and graded assignments.
Skills: Python
Above: Lab room where sessions took place [left] and example of coursework code [right].
Tutor at Quantitative Skills Center of Pomona College
January 2022 - May 2022
- Hosted bi-weekly 2 hour drop-in tutor sessions.
- Intro CS, Discrete Math and Data Structures (Python, Coq, Java).
Above: Example of coursework that I tutored (a proof in COQ).
January 2022 - May 2022
- Assisted development of application Mappy, a Rust program which interprets pixel data and creates maps of emulated Nintendo NES games.
- Published paper on Mappy to conference AIIDE 2021 (Click here to view the paper!)
- FAIM Site
Skills: Rust
Above: FAIM 2021 lineup.
Sponsored Yoyo Professional
October 2015 - August 2022
- Sponsored by Unparalleled YoYos (previosly YoYoFactory and Chico YoYo Co.).
- Designed, prototyped and advertised my 5 signature yoyo models:
(Lightspeed,
D10,
ND,
ND Ultra,
Bind,
Damage,
Nation).
- Received royalties from sales.
- Fully funded travel to competitions in China, Japan, Iceland, and across the US.
Camp Counselor at Bar 717 Ranch
May 2021 - August 2021
- Led groups of 6 campers over 2 week sessions.
- Guided groups through activities such as hikes, guitar lessons, overnight camping trips.
- Acquired lifeguard/CPR and Wilderness First Aid certifications.
Skills: Lifeguarding, Wilderness First Aid, Backpacking
Student Assistant at Claremont McKenna Children's School
May 2021 - August 2021
- Employed to supervise groups of 20 children (ages 3-4) and inspire learning.
Awards:
🌟 Ted Gleason Award
- Presented at Pomona College Graduation 2023. Details
here.
🌟 Best Paper Award - October 2021
AIIDE, conference on Artificial Intelligence and Interactive Digital Entertainment
- Awarded to paper on Mappy, the program to which I contributed (see projects tab).
🌟 Valedictorian
