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# Mike Huang

**Headline:** Professional profile
**Location:** San Francisco, CA, USA

## About

Mike Huang is a software developer with experience across JavaScript, TypeScript, Node.js, Python, and React. In Mike’s most recent role at Kivo, he worked with Python and React after beginning his development path with JavaScript, TypeScript, and Node.js. Mike is strongest at practical, data-driven debugging: he tests hypotheses thoroughly, uses metrics to establish root causes, and documents findings so technical conclusions can be demonstrated clearly. At Massimo, Mike investigated a worker-related issue that others had dismissed, systematically proved the bug through testing, and reduced CPU usage by 50%. Mike is comfortable moving between languages and frameworks and uses AI to make those transitions easier. His focus is on solving meaningful technical problems and moving on to the next challenge rather than seeking recognition or compliments.

## Highlights

- Worked at Kivo using Python and React.
- Previously worked at Massimo.
- Identified a worker bug at Massimo that others had dismissed.
- Used systematic testing to prove the Massimo worker bug and its root cause.
- Reduced CPU usage by 50% at Massimo.
- Uses a data-driven debugging approach built on thorough testing, metrics, and documentation.
- Built experience first with JavaScript, TypeScript, and Node.js before shifting to Python and React.
- Comfortably works across different languages and frameworks, using AI to ease technical transitions.

## FAQ

### What does Mike do?

Mike develops software across JavaScript, TypeScript, Node.js, Python, and React. He is particularly focused on practical debugging, systematic testing, metrics, and clear documentation.

### What technologies has Mike worked with?

Mike began with JavaScript, TypeScript, and Node.js, then shifted to Python and React in his most recent role at Kivo.

### What did Mike do at Kivo?

At Kivo, Mike worked with Python and React. It was his most recent role mentioned in the record.

### What did Mike accomplish at Massimo?

At Massimo, Mike identified a worker bug that others had dismissed, proved the issue through systematic testing, and reduced CPU usage by 50%.

### How does Mike approach debugging?

Mike approaches debugging with thorough testing, measurable evidence, and documentation. He uses data and metrics to test and prove hypotheses about root causes.

### How does Mike adapt to new languages and frameworks?

Mike is comfortable switching among languages and frameworks. He uses AI to ease the learning and transition process when working across different stacks.

### What motivates Mike professionally?

Mike is motivated by solving problems and taking on the next challenge, rather than by recognition or compliments.

## Links

- LinkedIn: https://www.linkedin.com/in/mike-huang-95929a140

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