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# Hrishikesh Naveenam

**Headline:** Researcher
**Profession:** Researcher
**Location:** &lt;UNKNOWN&gt;, &lt;UNKNOWN&gt;, &lt;UNKNOWN&gt;

## About

Hrishikesh Naveenam is a Computer Science researcher at ACM UTD — CelestAI and a B\.S\. in Computer Science student at The University of Texas at Dallas\. Hrishikesh builds AI agent systems and is especially strong at combining technical execution with direct customer interaction\. His approach centers on customer discovery, iterative feedback, and substantial planning before implementation so that products are built to the right specifications\. Hrishikesh has experience designing complex agent workflows with chained processes and accumulative context passing, using technologies including TypeScript, LangGraph, and Supabase for authentication\. In 2025, Hrishikesh won HackUTD by building AutoPM, an AI agent system designed to automate product manager workflows\. He is recognized for gathering requirements effectively, communicating clearly with customers while remaining technically engaged, and translating feedback into product decisions\. Hrishikesh prefers ownership\-oriented work where engineering stays close to users and customer needs rather than coding in isolation\.

## Highlights

- Won HackUTD 2025 by building AutoPM, an AI agent system for automating product manager workflows\.
- Researcher at ACM UTD — CelestAI\.
- Builds complex AI agent systems with chained workflows and accumulative context passing\.
- Experienced with TypeScript, LangGraph for AI agents, and Supabase for authentication\.
- Gathers customer requirements through iterative feedback and builds to specification\.
- Combines technical work with effective customer communication\.
- Invests significant time in planning and customer discovery before coding to help ensure the right product is built\.
- Pursuing a B\.S\. in Computer Science at The University of Texas at Dallas\.

## Experience

- **Researcher at ACM UTD** (2025\-02\-01–2025\-05\-01) — CelestAI

## Education

- B\.S\., Computer Science — The University of Texas at Dallas (2024\-01\-01–2028\-01\-01)
- Ekya Schools

## FAQ

### What does Hrishikesh do?

Hrishikesh Naveenam is a researcher at ACM UTD — CelestAI\. He works on AI\-agent\-related systems and brings a customer\-centered approach to technical product development\.

### What did Hrishikesh accomplish at HackUTD 2025?

Hrishikesh won HackUTD 2025 by building AutoPM, an AI agent system for automating product manager workflows\.

### What is AutoPM?

AutoPM is an AI agent system Hrishikesh built to automate product manager workflows\. The project earned him the HackUTD 2025 win\.

### What technical skills does Hrishikesh have?

Hrishikesh has experience building complex AI agent systems with chained workflows and accumulative context passing\. He has worked with TypeScript, LangGraph for AI agents, and Supabase for authentication\.

### What are Hrishikesh's strengths in customer discovery and communication?

Hrishikesh excels at gathering customer requirements through iterative feedback and building to specification\. He combines clear communication with technical depth to turn customer input into product decisions\.

### How does Hrishikesh approach planning and product development?

Hrishikesh believes in investing significant time in planning and customer discovery before coding\. His goal is to ensure that the team builds the right product for customer needs\.

### What kind of work environment does Hrishikesh prefer?

Hrishikesh performs especially well in roles that combine technical work with customer interaction\. He prefers work with ownership and customer proximity rather than coding in isolation\.

### What is Hrishikesh's education?

Hrishikesh is pursuing a B\.S\. in Computer Science at The University of Texas at Dallas\. He also attended Ekya Schools\.

## Links

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

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