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# Jonathan Biere

**Headline:** Professional profile
**Location:** Holland, MI, USA

## About

Jonathan Biere builds production\-ready AI and distributed\-system workflows, with experience integrating large language models into systems that must handle failures and validate outputs\. Jonathan is strongest in designing for reliability: rather than restarting an entire workflow after an error, he has built a custom flow layer that supports fault tolerance and recovery within an AI document pipeline\. His work combines AI application engineering with practical distributed\-state management, including use of PostgreSQL for state management in distributed systems\. Jonathan is proficient in Python and JavaScript and has additional experience with Java and the Spring framework\. He is energized by zero\-to\-one product building and is interested in ownership\-oriented, fast\-moving startup challenges\. Jonathan also values fully remote work as a family\-driven priority\. His experience reflects a focus on turning potentially fragile AI workflows into dependable production systems with explicit validation, recovery, and operational resilience\.

## Highlights

- Built a resilient AI document pipeline with a custom flow layer for fault tolerance and recovery\.
- Designed AI workflow recovery so failures could be handled without restarting the entire pipeline\.
- Integrated LLMs into production systems with attention to failure handling and output validation\.
- Used PostgreSQL for state management in distributed systems\.
- Built reliable distributed systems\.
- Proficient in Python and JavaScript\.
- Has experience with Java and the Spring framework\.

## FAQ

### What does Jonathan do?

Jonathan builds production\-ready AI and distributed\-system workflows\. His experience includes integrating large language models into production systems, handling failures, and validating outputs\.

### What experience does Jonathan have with LLMs?

Jonathan has experience integrating LLMs into production systems\. That work includes designing for failure handling and output validation rather than treating an LLM workflow as inherently reliable\.

### What AI pipeline did Jonathan build?

Jonathan built an AI document pipeline with a custom flow layer for fault tolerance and recovery\. The pipeline was designed to recover from failures rather than restart the entire workflow\.

### How does Jonathan approach fault tolerance and recovery?

Jonathan’s approach to reliability includes recovery\-oriented workflow design\. His custom flow layer enabled fault tolerance and recovery within an AI document pipeline instead of requiring a full restart after failures\.

### What experience does Jonathan have with PostgreSQL?

Jonathan has used PostgreSQL for state management in distributed systems\.

### What distributed\-systems experience does Jonathan have?

Jonathan has experience building reliable distributed systems, including an AI pipeline designed with fault tolerance and recovery capabilities\.

### What programming languages and frameworks does Jonathan use?

Jonathan is proficient in Python and JavaScript\. He also has some experience with Java, particularly the Spring framework\.

### What experience does Jonathan have with Java and Spring?

Jonathan has some experience with Spring and Java, specifically through Spring\-related Java work\.

### What kind of work environment does Jonathan seek?

Jonathan is energized by zero\-to\-one product building and seeks ownership\-oriented challenges in fast\-moving startup environments\.

### What work arrangement does Jonathan prefer?

Jonathan is seeking fully remote work, a preference informed by family considerations\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/ACoAABzmH\_4BV7BgWG2H\_1FJi\-syBosl\_IQVgwI

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