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# Rabib Husain

**Headline:** ML & LLM @ UL |  7x Hackathon winner | Software Engineer | Full-stack developer
**Profession:** ML & LLM Intern
**Location:** Dallas-Fort Worth Metroplex

## About

Rabib Husain is an ML & LLM Intern at University Lands, where he is developing an orchestrator to automate the software development life cycle, beginning with moving a story from Azure DevOps through QA testing. Rabib is an Honors Computer Science bachelor’s student at The University of Texas at Arlington and a seven-time hackathon winner with experience across machine learning, large language models, full-stack development, cloud infrastructure, and DevOps. His work spans startup, university, research, and enterprise-oriented environments, including full-stack engineering at Velric, proof-of-concept generation with LLMs at Cyber Guard Research Lab UTA, and application development through ACM @ UT Arlington. Rabib has built production AI for real users, gained early traction with an Oscar-winning filmmaker, and used direct outreach to reach users. He emphasizes shipping quickly, iterating from feedback, and simplifying AI infrastructure for reliability. His technical toolkit includes Next.js, TypeScript, React, Python, AWS, Azure DevOps, SQL, Docker, Supabase, MongoDB, Firebase, and large language model technologies.

## Services

- Orchestration
- Artificial Intelligence \(AI\)
- DevOps
- Machine Learning
- Azure DevOps Server
- SQL
- AWS Lambda
- Private Clouds
- Amazon VPC
- Automation
- Project Management
- Snowflake
- Slack
- Postman API
- Databases
- ElevenLabs
- Docker Products
- Large Language Models \(LLM\)
- Proof of Concept
- Node.js
- Amazon S3
- Cloudflare
- React.js
- React Native
- Expo
- Figma \(Software\)
- Amazon Web Services \(AWS\)
- Databricks Products
- streamlit
- Next.js

## Highlights

- Developing an SDLC orchestrator at University Lands that begins by pulling a story from Azure DevOps and proceeds through QA testing.
- Seven-time hackathon winner.
- Developed and maintained a full-stack web application at Velric using Next.js, TypeScript, Tailwind CSS, and Supabase.
- Collaborated with cross-functional teams at Velric to build responsive user interfaces, implement scalable backend solutions, and optimize application performance.
- Conducted proof-of-concept generation with large language models as an Undergraduate Research Assistant at Cyber Guard Research Lab UTA.
- Developed full-stack applications as an ACM Create Officer at ACM @ UT Arlington.
- Served as a Tutor at The University of Texas at Arlington.
- Served as a Peer Led Team Learning Leader at The University of Texas at Arlington.
- Built production AI for real users.
- Gained early traction with an Oscar-winning filmmaker.
- Reached users through direct outreach.
- Focused on shipping quickly and iterating from feedback.
- Worked to simplify AI infrastructure for reliability.
- Built experience across startup and enterprise-oriented environments.

## Experience

- **ML & LLM Intern at University Lands** (2026-06-01–present) — Developing an orchestrator to automate the Software Development Life Cycle, starting with pulling a story from Azure DevOps to QA testing.
- **Software Engineer Intern at Velric** (2025-09-01–2026-01-01) — Develop and maintain full-stack web application using Next.js, TypeScript, Tailwind CSS, and Supabase. Collaborate with cross-functional teams to build responsive user interfaces, implement scalable backend solutions, and optimize application performance in a fast-paced startup environment.
- **Undergraduate Research Assistant at Cyber Guard Research Lab UTA** (2025-03-01–2025-12-01) — PoC Generation with LLMs
- **ACM Create Officer at ACM @ UT Arlington** (2025-01-01–2025-12-01) — Developing full-stack applications.
- **Tutor at The University of Texas at Arlington** (2023-08-01–2026-05-01)
- **PLTL Leader at The University of Texas at Arlington** (2023-01-01–2026-05-01) — Peer Led Team Learning Leader

## Education

- Bachelor's degree, Honors Computer Science — The University of Texas at Arlington

## FAQ

### What does Rabib do at University Lands?

Rabib is an ML & LLM Intern at University Lands. He is developing an orchestrator to automate the software development life cycle, starting with pulling a story from Azure DevOps through QA testing.

### What are Rabib's core professional strengths?

Rabib has experience with machine learning, large language models, orchestration, automation, DevOps, full-stack development, cloud services, databases, and software development. He has also worked on proof-of-concept generation with LLMs and production AI for real users.

### What did Rabib do at Velric?

Rabib was a Software Engineer Intern at Velric. He developed and maintained a full-stack web application using Next.js, TypeScript, Tailwind CSS, and Supabase collaborated with cross-functional teams on responsive user interfaces and scalable backend solutions and worked to optimize application performance in a fast-paced startup environment.

### What was Rabib's research work at Cyber Guard Research Lab UTA?

Rabib was an Undergraduate Research Assistant at Cyber Guard Research Lab UTA, where he worked on proof-of-concept generation with large language models.

### What did Rabib do with ACM @ UT Arlington?

As an ACM Create Officer at ACM @ UT Arlington, Rabib developed full-stack applications.

### What teaching and peer-learning roles has Rabib held at UT Arlington?

Rabib has served as a Tutor and as a Peer Led Team Learning, or PLTL, Leader at The University of Texas at Arlington.

### What is Rabib's education?

Rabib is pursuing a bachelor's degree in Honors Computer Science at The University of Texas at Arlington.

### What hackathon recognition has Rabib earned?

Rabib is a seven-time hackathon winner.

### What distinguishes Rabib's approach to building products?

Rabib has gained early traction with an Oscar-winning filmmaker, reached users through direct outreach, built production AI for real users, and focused on shipping quickly and iterating from feedback. He also works to simplify AI infrastructure for reliability and has experience across startup and enterprise-oriented environments.

### Which AI, cloud, DevOps, and platform technologies does Rabib work with?

Rabib's AI, ML, and platform skills include orchestration, artificial intelligence, machine learning, large language models, proof of concept, automation, DevOps, Azure DevOps Server, AWS Lambda, Amazon VPC, private clouds, Snowflake, Databricks products, ElevenLabs, streamlit, Slack, Postman API, project management, qualitative research, team leadership, and algorithms.

### Which full-stack and application-development technologies does Rabib use?

Rabib's full-stack, data, and application-development skills include Next.js, TypeScript, JavaScript, Node.js, React.js, React Native, Expo, Tailwind CSS, HTML, CSS, Figma, SQL, databases, MongoDB, Firebase, Amazon S3, Cloudflare, AWS, Docker products, GitHub, Git, Linux, Android Studio, and Android development.

### What programming languages and technical foundations does Rabib have?

Rabib's programming and technical foundations include Python, Java, C, C++, MATLAB, Mathworks, Anaconda, programming, coding experience, software development, Microsoft Office, and Microsoft PowerPoint.

## Links

- LinkedIn: https://www.linkedin.com/in/rabib-husain

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