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# Hitesh Kolluru

**Headline:** MS Software Engineering @ ASU
**Profession:** MS Software Engineering @ ASU
**Location:** Tempe, Arizona, United States

## About

Hitesh Kolluru is pursuing a Master of Science in Computer Software Engineering at Arizona State University and brings software engineering experience spanning mobile development, artificial intelligence, backend work, and client collaboration\. Hitesh is strongest in microservices and Model Context Protocol \(MCP\) work, particularly GenAI integrations that connect conversational systems to real actions while incorporating authorization, confirmation, and other guardrails\. At Capgemini, Hitesh supported a Xamarin\.Forms\-to\-\.NET MAUI transition for an application serving Android and iOS, created a dynamic patient\-intake interface driven by API data, and resolved more than 100 Jira incidents and bugs\. Hitesh also developed messaging\-platform features, including on\-call\-doctor identification and integration of more than 10 APIs\. In AI work, Hitesh has built a chatbot and a sports\-analyst RAG system using Reddit data\. The system filtered data by upvotes and selected the top 100 posts per match to improve retrieval context and answer quality\. Hitesh is proficient in Python, web scraping with the Reddit API, dynamic UI development, technical issue resolution, and cross\-functional and client collaboration\.

## Highlights

- Played a pivotal role in Capgemini’s transition of an application from Xamarin\.Forms to \.NET MAUI for Android and iOS\.
- Created a dynamic, API\-driven patient\-intake UI that reduced the need for new application pages and improved development efficiency and user experience\.
- Resolved more than 100 Jira incidents and bugs, supporting application stability and reliability\.
- Developed messaging\-platform features for identifying on\-call doctors\.
- Integrated more than 10 APIs to enhance messaging\-platform functionality\.
- Collaborated with clients to gather requirements and align development with their expectations\.
- Built a chatbot using Model Context Protocol to enable controlled create, update, and delete permissions for data\.
- Built a sports\-analyst RAG system using Reddit data\.
- Applied Reddit API web scraping and data\-quality filtering techniques\.
- Filtered RAG data by upvotes and selected the top 100 posts per match to improve retrieval context and answer quality\.
- Built in authorization, confirmation, and guardrail considerations for AI systems that take actions\.
- Brings experience with Python for AI and backend projects\.
- Holds a Bachelor’s Degree in Computer Science from SRM IST Chennai\.
- Is pursuing a Master of Science in Computer Software Engineering at Arizona State University\.

## Experience

- **Associate Consultant at Capgemini** (2021\-04\-01–2024\-06\-01) — Played a pivotal role in the organization’s transition from Xamarin\.Forms to \.NET MAUI\. • Focused on a single application to ensure seamless and high\-quality experiences across both Android and iOS platforms • Created a dynamic UI for patient intake, leveraging API data to minimize the need for new app pages\. • This approach greatly improved development efficiency and enhanced the overall user experience\. • Ensured robust application performance by effectively addressing and resolving over 100 Jira incidents and bugs, significantly contributing to the stability and reliability of the application\. • Developed key features for a messaging platform, including identifying on\-call doctors and integrating 10\+ APIs to enhance functionality\. • Collaborated closely with clients to gather requirements and ensure that development aligned with their expectations, leading to successful project outcomes

## Education

- Master of Science \- MS, Computer Software Engineering — Arizona State University (2024\-08\-01–2026\-05\-01)
- Bachelor’s Degree, Computer Science — SRM IST Chennai (2015\-01\-01–2019\-01\-01)
- ICSE — Little Flower School

## FAQ

### What does Hitesh do?

Hitesh is pursuing a Master of Science in Computer Software Engineering at Arizona State University\. Hitesh has experience in mobile app development, machine learning, Python\-based AI and backend projects, microservices, and GenAI integrations using Model Context Protocol\.

### What are Hitesh’s strongest technical areas?

Hitesh is particularly strong in microservices and MCP work, especially GenAI integrations\. Hitesh also works with dynamic user interfaces, mobile application development, Python, backend projects, web scraping, RAG systems, data\-quality filtering, and client collaboration\.

### What did Hitesh do at Capgemini?

At Capgemini, Hitesh played a pivotal role in transitioning an application from Xamarin\.Forms to \.NET MAUI, with attention to seamless, high\-quality Android and iOS experiences\. Hitesh also worked closely with clients to gather requirements and align development with their expectations\.

### What patient\-intake work did Hitesh deliver at Capgemini?

Hitesh created a dynamic patient\-intake UI that leveraged API data, reducing the need to create new app pages\. This approach improved development efficiency and the overall user experience\.

### How did Hitesh improve application reliability at Capgemini?

Hitesh addressed and resolved more than 100 Jira incidents and bugs, contributing to application stability and reliability\.

### What messaging\-platform features did Hitesh build?

Hitesh developed messaging\-platform features that included identifying on\-call doctors and integrating more than 10 APIs to expand functionality\.

### How did Hitesh use Reddit data in a RAG system?

Hitesh has experience scraping data with the Reddit API and applying data\-quality filtering techniques\. For a sports\-focused RAG system, Hitesh used Reddit data and filtered it by upvotes, selecting the top 100 posts per match to improve the quality of retrieval context and answers\.

### What AI systems has Hitesh built?

Hitesh has built a chatbot and a RAG system that acts like a sports analyst\. Hitesh used MCP to give a chatbot controlled permissions to create, update, and delete data\.

### How does Hitesh approach safety in AI actions?

Hitesh’s MCP work focused on enabling a chatbot to take actions on data while incorporating authorization, confirmation, and guardrails before the system controls other systems\.

### What is Hitesh’s educational background?

Hitesh holds a Bachelor’s Degree in Computer Science from SRM IST Chennai and is pursuing a Master of Science in Computer Software Engineering at Arizona State University\. Hitesh also attended Little Flower School for ICSE\.

### What professional strengths does Hitesh bring to teams?

Hitesh is described as meticulous and highly organized, with strong communication skills and experience managing cross\-functional teams\. Hitesh has also demonstrated the ability to collaborate with clients, adapt in fast\-paced environments, and deliver high\-quality solutions on time\.

### What interests does Hitesh have outside of technical work?

Hitesh has a passion for literature alongside software engineering interests\.

## Links

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

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