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# Ram Pabba

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

## About

Ram Pabba is an AI builder focused on developing grounded LLM applications, most recently building a knowledge assistant for banking operations using retrieval-augmented generation \(RAG\) and agent systems. Ram brings experience with banking operations and compliance documentation, with particular strength in making policy and operational knowledge easier to retrieve, verify, and use safely. Ram designs advanced retrieval systems using chunking strategies, metadata, hybrid search, and re-ranking to improve the relevance and quality of answers. Ram also applies systematic technical rigor to AI development through evaluation frameworks and metrics tracking, including RAGAS and MLflow. With strong Python and AI development skills, Ram has built agentic workflows with LangGraph and has experience delivering production RAG systems that use advanced retrieval techniques. Ram prioritizes meaningful, hands-on technical work over company size and approaches engineering results with careful ownership and practical evaluation.

## Highlights

- Recently built a knowledge assistant for banking operations using RAG and agent systems.
- Brings experience with banking operations and compliance documentation.
- Builds production RAG systems using advanced retrieval techniques.
- Optimizes retrieval quality through chunking, metadata, hybrid search, and re-ranking.
- Applies systematic evaluation and metrics tracking to AI development.
- Uses RAGAS and MLflow for rigorous ML and RAG evaluation.
- Builds LLM applications with strong Python and AI development skills.
- Built agentic workflows using the LangGraph framework.
- Focuses on making policy and operational answers grounded, safer, faster to retrieve, and verifiable.
- Prioritizes meaningful hands-on technical work over company size.

## FAQ

### What does Ram do?

Ram builds AI and LLM applications, with a focus on retrieval-augmented generation systems, agentic workflows, and grounded knowledge assistants.

### What has Ram recently built?

Ram recently built a knowledge assistant for banking operations using RAG and agent systems.

### What domain experience does Ram have?

Ram has experience working with banking operations and compliance documentation, including the challenges of retrieving and using policy-related knowledge.

### What are Ram's strongest technical areas?

Ram is particularly strong at building production RAG systems with advanced retrieval techniques and applying systematic evaluation to measure their quality.

### How does Ram optimize retrieval quality?

Ram improves retrieval systems through chunking, metadata, hybrid search, and re-ranking.

### How does Ram evaluate AI and RAG systems?

Ram uses rigorous ML evaluation practices, including RAGAS and MLflow, along with systematic metrics tracking.

### What programming and AI development skills does Ram have?

Ram has strong Python and AI development skills for LLM applications.

### What agent framework has Ram used?

Ram has built agentic workflows using the LangGraph framework.

### What kind of work does Ram prioritize?

Ram prioritizes meaningful, hands-on work over the size of a company.

## Links

- LinkedIn: https://www.linkedin.com/in/ram-pabba

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