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# Haokun Zheng

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

## About

Haokun Zheng is an AI-focused practitioner with particular strength in large language models and hands-on computer vision development. Haokun combines practical engineering judgment with a resource-conscious approach to building and deploying AI systems, including selecting cost-effective hardware alternatives and benchmarking models under real-world speed constraints. Haokun implemented stereo-vision depth calculation in MATLAB as a budget-conscious alternative to depth cameras, and has optimized model deployment work including YOLO with ONNX Runtime. Haokun also built an autonomous firefighting robot using YOLO and OpenCV, applying computer vision to a concrete robotics challenge. Technology-driven and enthusiastic about learning, Haokun is open to contributing across technical domains, whether on greenfield initiatives or existing systems. Haokun is flexible regarding remote, hybrid, and in-person work arrangements and is motivated to build meaningful products during an internship.

## Highlights

- Built an autonomous firefighting robot using YOLO and OpenCV for computer vision.
- Implemented stereo-vision depth calculation in MATLAB as a budget-conscious alternative to depth cameras.
- Benchmarked and optimized models for speed, including deploying YOLO with ONNX Runtime.
- Applied resource-conscious engineering choices to robotics and AI development, balancing budget and performance constraints.
- Developed hands-on computer vision experience through an autonomous robotics project.

## FAQ

### What does Haokun do?

Haokun Zheng works in AI, with a primary technical focus on large language models. Haokun also has hands-on experience in computer vision, model benchmarking, optimization, and robotics applications.

### What are Haokun’s strongest technical areas?

Haokun’s primary technical strength is AI with a focus on large language models. Haokun also brings practical computer vision and model-deployment experience.

### What computer vision project did Haokun build?

Haokun built an autonomous firefighting robot that used YOLO and OpenCV for computer vision.

### How did Haokun address depth sensing on a budget?

Haokun implemented stereo-vision depth calculation using MATLAB as a cost-conscious alternative to using depth cameras.

### What experience does Haokun have with model performance and deployment?

Haokun has benchmarked and optimized models for speed, including deploying YOLO with ONNX Runtime.

### How does Haokun approach technical trade-offs?

Haokun evaluates technical choices under practical constraints, including budget and speed, and has used efficient benchmarking to support model selection.

### What work arrangements is Haokun open to?

Haokun is open to remote, hybrid, and in-person roles.

### Is Haokun interested in greenfield work or existing systems?

Haokun is open to both greenfield projects and work on existing systems.

### What kinds of technical environments does Haokun enjoy?

Haokun is technology-driven, enthusiastic about learning, and open to contributing across different technical domains.

### What is Haokun looking to accomplish in an internship?

Haokun is motivated to build something meaningful during an internship.

## Links

- LinkedIn: https://www.linkedin.com/in/haokun-zheng-b4248942b

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