Ethan Palosh

Full-Stack · Applied AI · Embedded

Full-stack software engineer with experience working on enterprise and consumer software. Particular interests include applied AI and frontier technologies. Additional expertise in embedded systems & robotics.

Ethan Palosh
Currently building at:
Nominal
Series B · Software Engineering
Graduating:
May 2027
B.S. Computer Engineering + M.S. Computer Science
Find out more:
LinkedIn
my hobbies

Ask me about... things I love!

Motorsport
Skiing
Pickleball
Photography
Food
Working Out
My Work

Projects/Ventures past & in progress

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Involvements

LavaLab

LavaLab

USC's premier startup incubator program. A highly selective organization with semester-long cohorts, teaching ambitious technical founders the skills to thrive in fast-paced startup environments.

LeadershipSoftware EngineeringEntrepreneurship
USC Racing

USC Racing

USC Racing is a university project team that designs, constructs, and tests a student-built formula-style race car for international competition. The electronics subteam is reponsible for electrical and software systems on the car.

Embedded SystemsHardware EngineeringMotorsport

About Me!

Ethan Palosh
Education

USC Viterbi School of Engineering

B.S. Computer Engineering & Computer Science + M.S. in Computer Science

Both expected May 2027

Presidential Scholar4× Dean's List

My background includes traditional software development, applied AI + ML, and robotics. I thrive in fast-paced environments that demand quick thinking and adaptability. Lately, my work has focused on real-world applications of machine learning, and I'm especially drawn to applying my skills to new domains where fresh technical challenges await.

Projects/Ventures

Satori Inference

Satori Inference

Satori Inference is an agentic operational data platform, purpose-built for manufacturing companies. We enable our customers to consolidate their manufacturing-specific data sources and design powerful analytics tools to dissect and improve their operations with just natural language.

Agentic AIEnterpriseAWSData Engineering
Oasis

Oasis

Oasis is a hardware ecosystem that uses vision-based AI techniques to detect dangerous events (such as falls, respiratory distress, and calls for help). We implement research-backed approaches to identify and characterize these events in real-time. Calculations are performed on-device, providing data security and economical operation.

Computer VisionEdge AIHardwareConsumer
Detailer

Detailer (iOS App)

Introducing Detailer, a publicly available communication app built for families with college students. Developed using industry standard techniques for persistence, user data, and remote notifications. Utilizes Google Cloud for storage and authentication. AI integration for core app features, offering a personalized experience.

SwiftJavaScriptFirebaseCloud FunctionsOpenAI API

Let's get in touch!