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# Suraj Bijjala

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

## About

Suraj Bijjala is an AI engineer who builds and ships complete AI projects independently, with hands\-on experience developing AI models, data pipelines, and retrieval\-augmented generation \(RAG\) systems\. Suraj uses Claude for AI\-assisted coding and applies OpenTelemetry and LangFuse to evaluate and monitor LLM applications\. Suraj’s strengths include prompt engineering, designing multiple personas, optimizing system prompts, and proactively managing persona behavior in AI experiences\. A notable project is an intent\-based RAG pipeline with persona control and separate retrieval and scoring systems, designed to improve context retrieval and response quality\. Suraj is motivated by meaningful problem\-solving work, strong team environments, and collaboration that brings fresh ideas and greater impact\. Suraj plans to begin in an engineering role and grow into leading technical teams, combining independent delivery capability with a collaborative approach to continuous learning and product improvement\.

## Highlights

- Builds and ships complete AI projects independently\.
- Builds AI models, data pipelines, and RAG pipelines hands\-on\.
- Uses Claude for AI\-assisted coding\.
- Uses OpenTelemetry and LangFuse for LLM evaluation and monitoring\.
- Has prompt\-engineering experience across multiple persona designs and system\-prompt optimization\.
- Built an intent\-based RAG pipeline with persona control\.
- Designed the RAG pipeline with separate retrieval and scoring systems\.
- Focuses on proactively managing persona behavior in AI experiences\.
- Applies evaluation systems to support better AI products\.
- Aims to grow from an engineering role into technical\-team leadership\.

## FAQ

### What does Suraj do?

Suraj builds and ships complete AI projects independently\. Suraj works hands\-on with AI models, data pipelines, and RAG pipelines\.

### What are Suraj’s core technical strengths?

Suraj is strongest in hands\-on AI engineering, including building AI models, data pipelines, RAG systems, prompt engineering, and LLM evaluation and monitoring\.

### What AI\-assisted coding tool does Suraj use?

Suraj uses Claude for AI\-assisted coding\.

### What tools does Suraj use for LLM evaluation and monitoring?

Suraj uses OpenTelemetry and LangFuse for LLM evaluation and monitoring\.

### What is Suraj’s prompt\-engineering experience?

Suraj has experience designing prompts for multiple personas and optimizing system prompts\. Suraj also focuses on maintaining effective persona control in AI systems\.

### What RAG project has Suraj built?

Suraj built an intent\-based RAG pipeline with persona control\. The system separates retrieval from scoring to support improved context retrieval and response quality\.

### How does Suraj approach AI product quality?

Suraj approaches AI product development by building evaluation systems and monitoring capabilities that can support better products\.

### What are Suraj’s career goals?

Suraj aims to start as an engineer and progress to leading technical teams\.

### What does Suraj value in a team and role?

Suraj values a good team environment, meaningful problem\-solving work, and collaboration that creates fresh ideas and larger impact\.

### How does Suraj balance independent work and collaboration?

Suraj can deliver projects independently while also valuing team collaboration and continuous learning\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/ACoAACRnIVABcYvnY7yCSojQXu0Hjim9MVOhy50

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