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# Wyndham Woo

**Headline:** Professional profile
**Location:** &lt;UNKNOWN&gt;, &lt;UNKNOWN&gt;, &lt;UNKNOWN&gt;

## About

Wyndham Woo is a Data Science and Computer Science student who has led AI infrastructure work at AWS and is building experience across full\-stack and backend development, LLM inference, and hardware optimization\. Wyndham double majors in Data Science and Computer Science and is particularly strong in project leadership: coordinating teams, approaching unfamiliar technical problems strategically, and making high\-level technical decisions that move projects forward\. At AWS, Wyndham led a team project focused on an LLM inference backend for TorchAO on Trainium 3, where reframing the technical approach helped achieve an approximately 40% reduction in latency\. Wyndham also completed an internship with AWS Entrepreneur Labs\. Wyndham is motivated by building impactful products with visible outcomes and direct user feedback, and is especially drawn to environments where strategic problem\-solving can translate into immediate product impact\. Their experience reflects a blend of technical depth in inference and systems optimization with the ability to organize collaborative research and avoid narrow solution paths when tackling complex problems\.

## Highlights

- Led an AWS team project on an LLM inference backend for TorchAO on Trainium 3\.
- Achieved an approximately 40% latency reduction on the TorchAO Trainium 3 LLM inference project\.
- Completed an internship at AWS Entrepreneur Labs\.
- Built experience in full\-stack and backend development, LLM inference, and hardware optimization\.
- Demonstrated project leadership through team coordination and strategic problem\-solving\.
- Double majoring in Data Science and Computer Science\.
- Applied collaborative research to avoid tunnel vision while solving unfamiliar technical problems\.
- Motivated by building impactful products with visible results and direct user feedback\.

## FAQ

### What does Wyndham do?

Wyndham Woo is a double major in Data Science and Computer Science with experience in full\-stack and backend development, LLM inference, hardware optimization, and technical project leadership\.

### What are Wyndham’s strongest professional skills?

Wyndham’s core strengths include coordinating technical teams, strategic problem\-solving, high\-level technical decision\-making, full\-stack and backend development, LLM inference, and hardware optimization\.

### What did Wyndham accomplish at AWS?

At AWS, Wyndham led a team project on an LLM inference backend for TorchAO on Trainium 3\. The work achieved an approximately 40% reduction in latency\.

### What was Wyndham’s experience with AWS Entrepreneur Labs?

Wyndham completed an internship at AWS Entrepreneur Labs\.

### How does Wyndham lead technical projects?

Wyndham helped lead an uncharted technical team by organizing collaboration and guiding the project through strategic problem\-solving rather than relying on a narrow initial approach\.

### How did Wyndham reduce latency on the TorchAO Trainium 3 project?

Wyndham’s AWS project reduced latency by about 40% by rethinking the technical problem and pursuing a more effective solution path for LLM inference on Trainium 3\.

### What is Wyndham studying?

Wyndham is double majoring in Data Science and Computer Science\.

### What motivates Wyndham professionally?

Wyndham is motivated by building impactful products with visible results and direct user feedback\. Wyndham is particularly interested in startup\-like environments where technical work can create immediate impact\.

### What kind of technical work does Wyndham prefer?

Wyndham prefers strategic problem\-solving and making high\-level technical decisions over work that is purely hands\-on coding\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/ACoAADfMIfMBms4qlmlrXQuZB6gaI0PCTGphn2k

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