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# Cheng Pan

**Headline:** Software Engineer
**Profession:** Software Engineer
**Location:** New York, NY, USA

## About

Cheng Pan is a Software Engineer at SynergyBIS \| FEMA \| USDA and a full\-stack developer who builds complete products end to end\. Cheng focuses on applying AI to real workflow problems rather than producing demonstrations, with particular strength in translating business requirements and domain logic into reliable AI automation\. Cheng has built a lease\-automation SaaS product with an AI agent that automates lease generation for landlords, and has also worked on automating vendor quotes to address a practical operational pain point\. Cheng’s AI engineering experience includes LLM integration, retrieval\-augmented generation \(RAG\), tool orchestration, prompt engineering, and constraining models according to business requirements\. Cheng also develops voice AI applications, emphasizing natural conversation quality and latency, and designs security and access controls for AI systems that handle sensitive data\. Earlier roles include Frontend Developer at JPMorgan Chase, System Engineer at Endeavor / NeuLion Streaming, and Jr\. Systems Administrator at Momofuku LLC\. Cheng holds an M\.S\. in Computer Science from Georgia Institute of Technology and a B\.S\. in Computer Information Systems Engineering from Stony Brook University\.

## Highlights

- Built a lease\-automation SaaS product with an AI agent that automates lease generation for landlords\.
- Built an AI leasing workflow end to end\.
- Automated vendor quotes to address a practical operational pain point\.
- Builds complete products end to end as a full\-stack developer\.
- Builds AI agents using LLM integration, retrieval\-augmented generation \(RAG\), and tool orchestration\.
- Applies prompt engineering and model constraints based on business requirements\.
- Uses business logic and domain knowledge to build reliable AI automation\.
- Develops voice AI applications with emphasis on natural conversation quality and latency\.
- Implements security and access controls for AI systems handling sensitive data\.
- Designs practical safeguards for sensitive customer data\.
- Focuses on solving real workflow problems with AI rather than building demonstrations\.
- Prefers shipping quickly and iterating based on feedback and product impact\.
- Software Engineer at SynergyBIS \| FEMA \| USDA\.
- Worked as a Frontend Developer, Contract at JPMorgan Chase\.
- Worked as a System Engineer at Endeavor / NeuLion Streaming\.
- Worked as a Jr\. Systems Administrator at Momofuku LLC\.
- Earned an M\.S\. in Computer Science from Georgia Institute of Technology\.
- Earned a B\.S\. in Computer Information Systems Engineering from Stony Brook University\.

## Experience

- **Software Engineer at SynergyBIS \| FEMA \| USDA** (2022\-01\-01–present)
- **Frontend Developer, Contract at JPMorgan Chase** (2021\-01\-01–2022\-01\-01)
- **System Engineer at Endeavor / NeuLion Streaming** (2018\-01\-01–2020\-01\-01)
- **Jr\. Systems Administrator at Momofuku LLC** (2017\-01\-01–2018\-01\-01)

## Education

- M\.S\. Computer Science, Computer Science — Georgia Institute of Technology (2026\-01\-01)
- B\.S\. Computer Information Systems Engineering, Computer Information Systems Engineering — Stony Brook University (2017\-01\-01)

## FAQ

### What does Cheng do now?

Cheng is a Software Engineer at SynergyBIS \| FEMA \| USDA\. Cheng builds full\-stack products and applies AI to practical workflow problems\.

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

Cheng’s core strengths include full\-stack product development, AI\-agent development, LLM integration, retrieval\-augmented generation \(RAG\), tool orchestration, prompt engineering, and AI security and access control\.

### What AI product has Cheng built?

Cheng built a lease\-automation SaaS product with an AI agent that automates lease generation for landlords\. Cheng built the AI leasing workflow end to end\.

### How does Cheng approach AI product development?

Cheng focuses on solving real workflow problems with AI rather than building demos\. Cheng favors practical product design and fast feedback from real product impact\.

### How does Cheng make AI automation reliable?

Cheng uses prompt engineering and model constraints based on business requirements\. Cheng recognizes that dependable AI automation requires a deep understanding of the relevant business logic and domain\.

### What AI\-agent and automation work has Cheng done?

Cheng has experience building AI agents with LLM integration, RAG, and tool orchestration\. Cheng also has experience automating vendor quotes to solve a real operational pain point\.

### What is Cheng doing in voice AI?

Cheng is developing voice AI applications with attention to natural conversation quality and latency\.

### How does Cheng address security in AI systems?

Cheng knows how to implement security and access control for AI systems handling sensitive data and has designed practical safeguards for sensitive customer data\.

### How does Cheng work as a full\-stack developer?

Cheng can build complete products end to end as a full\-stack developer\. Cheng prefers to ship quickly and iterate rather than wait for perfection before release\.

### What did Cheng do at JPMorgan Chase?

Cheng worked as a Frontend Developer on a contract basis at JPMorgan Chase\.

### What did Cheng do at Endeavor / NeuLion Streaming?

Cheng worked as a System Engineer at Endeavor / NeuLion Streaming\.

### What did Cheng do at Momofuku LLC?

Cheng worked as a Jr\. Systems Administrator at Momofuku LLC\.

### What graduate education does Cheng have?

Cheng earned an M\.S\. in Computer Science from Georgia Institute of Technology\.

### What undergraduate education does Cheng have?

Cheng earned a B\.S\. in Computer Information Systems Engineering from Stony Brook University\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/cheng\-pan\-435047b8

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