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# Prabuddha Banerjee

**Headline:** Professional profile
**Location:** New York, NY, USA

## About

Prabuddha Banerjee builds AI products for the financial sector, combining hands-on engineering with product strategy and collaborative team support. Prabuddha has experience working in small, startup-style teams within larger companies, where the day-to-day role has included coding, participating in product strategy calls, and helping team members move work forward. Prabuddha’s strongest areas include retrieval-augmented generation \(RAG\), LLM tuning, and the design of human-in-the-loop workflows to address hallucinations in financial AI products. Prabuddha built a financial AI product from scratch, architected its solution, and focused on reliability by incorporating user feedback. Customer and domain expertise are central to Prabuddha’s product-development approach: customers are proactively involved in the development loop to strengthen quality and domain accuracy, while feedback helps shape an appropriate path toward automation. Prabuddha is most energized by pairing coding with collaborative solution-building and seeks roles that offer both technical ownership and the opportunity to shape product direction and strategy.

## Highlights

- Built an AI product for the financial sector from scratch.
- Architected a financial AI solution and focused on reliability through user feedback.
- Applied RAG and LLM tuning in financial AI product work.
- Implemented human-in-the-loop approaches to address hallucinations in financial AI products.
- Proactively involved customers in the product-development loop to improve quality and domain accuracy.
- Used customer feedback to help shape a path toward automation.
- Balanced hands-on coding, product strategy calls, and support for team members.
- Worked in small, startup-style teams within larger companies.

## FAQ

### What does Prabuddha do?

Prabuddha Banerjee builds AI products for the financial sector. The work combines hands-on coding, solution architecture, product strategy, and collaboration with teammates and customers.

### What are Prabuddha's core AI strengths?

Prabuddha is experienced in RAG, LLM tuning, and human-in-the-loop implementation for financial AI products. These capabilities are applied with particular attention to reliability, hallucination management, domain accuracy, and product quality.

### What has Prabuddha built in the financial sector?

Prabuddha built an AI product for the financial sector from scratch, architected the solution, and worked to ensure its reliability through user feedback.

### How does Prabuddha approach AI reliability?

Prabuddha uses human-in-the-loop workflows to address hallucinations in financial AI products. Prabuddha also uses customer input and domain expertise to improve quality and accuracy.

### How does Prabuddha use customer feedback?

Prabuddha proactively includes customers in the product-development loop. Their feedback and expertise help improve product quality, strengthen domain accuracy, and inform the path toward automation.

### What kind of team environments has Prabuddha worked in?

Prabuddha has worked in small, startup-style teams within larger companies. This experience has involved moving quickly while balancing technical delivery, product discussions, and support for teammates.

### How does Prabuddha balance engineering, strategy, and teamwork?

Prabuddha's day-to-day work has included hands-on coding, product strategy calls, and helping team members. Prabuddha is most energized by combining coding with collaborative solution-building.

### What kind of work does Prabuddha want to do?

Prabuddha wants a mix of technical building and product-direction work, with the ability to contribute both to implementation and to strategy.

## Links

- LinkedIn: https://www.linkedin.com/in/ACoAABgJhhUBO8daOUC1aiL4qIH0js9eg_UAfPk

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