AI is all I talk about these days; I spend most my free time using Stable Diffusion, reading LLM papers, or playing with cellular automata. I originally interned in the VR/AR industry while in middle school & high school, doing R&D, but pursue ML & AI now.I’m a hacker at heart, so I’m not afraid to deep dive and learn what’s necessary to solve any problem. I also host(ed) several AI groups & math book clubs, since math is my weakness, so I can get up to speed on the formal side of AI research.
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Founding EngineerSweetspot (Yc S23)New York, Ny, Us -
Founding EngineerSweetspot (Yc S23) May 2024 - PresentNew York, United StatesTypical founding engineer duties; coding, support, product development, u name it -
Machine Learning EngineerCognitive Space Aug 2023 - May 2024Dallas, Texas, United StatesResearching optimization and orchestration problems for satellite constellations using classical algorithms and deep learning approaches. -
Co-Owner (Blizzard Guides)Ultra Guides Jan 2018 - Apr 2023Dallas, Texas, United States• Managed online esports media company, focused on optimizing YouTube content and maximizing engagement & profitability. Ultra Guides achieved 1 Billion impressions & 600k+ total subscribers.• Trained & hired new talent, preparing them for independent work, as well as advise existing talent to increase sponsorship acquisitions, optimize revenue streams, and increase discoverability.• Produced 150+ YouTube videos, focused on simplifying complex topics for aspiring esports players.• Developed SEO techniques for small networks, to increase first time engagement & retention of users by up to 1300%, as well as increase profit per view to 160% of industry standard. -
Graduate Research Assistant - Melva (Full-Stack & Architecture)Southern Methodist University Oct 2021 - Feb 2023Dallas, Texas, United States• Developed an education platform for Spanish-speaking 2nd & 3rd grade students to improve their Scientific English vocabulary• Architected & managed the backend with AWS using serverless architecture (Lambdas), storage (S3), authentication (Cognito), & NoSQL database (DynamoDB). • Designed & developed front-end site Next.JS/React, using CI/CD on AWS Amplify.• Designed the website to handle hundreds of concurrent students recording their audio responses to then be transcribed and scored by a machine learning model using Amazon Polly & BERT -
Research Assistant - Distributed Private Machine LearningSouthern Methodist University May 2021 - Jan 2022Dallas, Texas, United States• Researched private machine learning on distributed networks, using Homomorphic encryption• Researched & implemented distributed machine learning strategies such as Split, Federated, Swarm, and SplitFed networks• Documented & tested homomorphic encryption libraries that could be compatible with distributed machine-learning strategies• Began development on basic distributed logistic regression with homomorphically encrypted tensors -
Virtual Reality Development InternEastedge Studios Apr 2018 - Aug 2018Dallas-Fort Worth Metroplex• Researched & developed immersive & intuitive input methods for Virtual Reality training simulation software. Majority of work was remote.• Implemented analytics tracking APIs for training simulations to help employers identify common issues when training new hires, using detailed metrics about user’s input in VR.• Codebase written in C#, developed in Unity Engine for HTC Vive & Oculus Rift.
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Virtual Reality Research And Development InternBottle Rocket Dec 2016 - May 2017Dallas, Texas, United States• Translation & implementation of internal VR libraries to all 12 major mobile-focused VR platforms.• Developed physics-based user input engine for Gear VR & Google/Daydream VR.• Researched & tested all major VR & AR platforms available at the time, as well as tested software solutions in Unity, Unreal Engine 4, hardware level OpenGL, Oculus SDK, and SteamVR SDK. -
Project Architect InternAcademic Informer Inc. May 2016 - Jul 2016Richardson, Texas, United States• Architected internal mobile application that recommended optimal university paths from high school.• Designed algorithm for packaging high school information to then calculate a path to reduce tuition by 60% on average. Project recommendation engine suggested data points to include / omit from college applications and which scholarships were most optimal for students.
Nathan Gage Education Details
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4.0 Gpa -
3.95 Gpa
Frequently Asked Questions about Nathan Gage
What company does Nathan Gage work for?
Nathan Gage works for Sweetspot (Yc S23)
What is Nathan Gage's role at the current company?
Nathan Gage's current role is Founding Engineer.
What schools did Nathan Gage attend?
Nathan Gage attended Southern Methodist University, Southern Methodist University.
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Nathan Gage
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Nathan Gage
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