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I Create in the physical and digital world.
I'm a passionate and self-driven member of the maker and programming community. Below are a few of my favorite programming projects!
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Leave A Trace
A social platformwhere users leave digital photos/videos at physical locations that their friends can only access when they get there, encouraging users to get up and go on adventures to interact with their friends.
Lecture Notes AI
LectureNotes AI is an educational app that uses artificial intelligence to help students with learning differences take notes in class. Developed as a personal project at MIT's HAN lab's I now hope to publish it to the app store.
STIX
This is the first game I published to the App Store! Complete with in-app ads, level select, and an item shop. I was incredibly proud to finish it and put it out there.
Scroll Down In This Window!
Revolutionizing Endangered Species Conservation: Employing Synthetic Satellite Data to Monitor and Protect Polar Bears
Training Machine Learning (ML) models often require large amounts of labeled data. It is not uncommon for labeling and sourcing high-quality data to represent a major bottleneck in the ML pipeline. In this study, we propose synthetic data as a means of sourcing high-quality data and demonstrate its power by training an ML model to recognize polar bears from satellite imagery; Literally a polar bear in a snowstorm! Throughout this paper, we collaborated with the likes of NOAA, SIC, Rendered.ai, and Up42 for data and ideas.
Perspective Projection
This is a Unity project built on the back of Microsoft's Kinect for Windows SDK 2.0. The project itself uses perspective projection and head tracking to fake 3D depth on a 2D screen!
Work
2021 — Present
Head of Console Development
The interactive wall application for tennis training and racquet sports. Starting as as an intern, I was promoted to Head of Console Development; Implemented an analytics pipeline for displaying data on mobile applications. Work with team to bring an interactive AR tennis experience to market. Currently developing AI sensor for full body tracking and racquet position.
2023 — Present
Intern
Developed simulated training environments for reinforcement learning robotic models. Quantizing open-source large language and speech recognition models to be able to run on local hardware. Developing AI note-taking app using whisper.cpp and gpt-4 for neuro-divergent students.
2022 – Present
Chief Executive Officer
Created a social network app allowing users to leave location-locked videos for friends to collect. Manage a team of technical developers and programed core infrastructure/MVP. Filed patent. 14k followers across social media, 1k+ beta testers.
2022 — 2023
Volunteer Teacher
Taught a class of 13 students in grades 5-8 Python II twice a week.
2021 — 2021
Volunteer
Created database for ACS Dreamshop, which collects donations of furniture and household items to sell and developed a system to track donations and increase donor interaction.
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I Create in the physical and digital world.
I'm a passionate and self-driven member of the maker and programming community. Below are a few of my favorite programming projects!
000000000000000000000000000
Leave A Trace
A social platformwhere users leave digital photos/videos at physical locations that their friends can only access when they get there, encouraging users to get up and go on adventures to interact with their friends.
Lecture Notes AI
LectureNotes AI is an educational app that uses artificial intelligence to help students with learning differences take notes in class. Developed as a personal project at MIT's HAN lab's I now hope to publish it to the app store.
STIX
This is the first game I published to the App Store! Complete with in-app ads, level select, and an item shop. I was incredibly proud to finish it and put it out there.
Scroll Down In This Window!
Revolutionizing Endangered Species Conservation: Employing Synthetic Satellite Data to Monitor and Protect Polar Bears
Training Machine Learning (ML) models often require large amounts of labeled data. It is not uncommon for labeling and sourcing high-quality data to represent a major bottleneck in the ML pipeline. In this study, we propose synthetic data as a means of sourcing high-quality data and demonstrate its power by training an ML model to recognize polar bears from satellite imagery; Literally a polar bear in a snowstorm! Throughout this paper, we collaborated with the likes of NOAA, SIC, Rendered.ai, and Up42 for data and ideas.
Perspective Projection
This is a Unity project built on the back of Microsoft's Kinect for Windows SDK 2.0. The project itself uses perspective projection and head tracking to fake 3D depth on a 2D screen!
Work
2021 — Present
Head of Console Development
The interactive wall application for tennis training and racquet sports. Starting as as an intern, I was promoted to Head of Console Development; Implemented an analytics pipeline for displaying data on mobile applications. Work with team to bring an interactive AR tennis experience to market. Currently developing AI sensor for full body tracking and racquet position.
2023 — Present
Intern
Developed simulated training environments for reinforcement learning robotic models. Quantizing open-source large language and speech recognition models to be able to run on local hardware. Developing AI note-taking app using whisper.cpp and gpt-4 for neuro-divergent students.
2022 – Present
Chief Executive Officer
Created a social network app allowing users to leave location-locked videos for friends to collect. Manage a team of technical developers and programed core infrastructure/MVP. Filed patent. 14k followers across social media, 1k+ beta testers.
2022 — 2023
Volunteer Teacher
Taught a class of 13 students in grades 5-8 Python II twice a week.
2021 — 2021