Areeb Khan

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Hi!

AI · Cloud · Software Engineer

I build intelligent, cloud-native software, end to end.

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Hello! I’m Areeb Khan, an AI and software engineer based in Arlington, TX. I’m currently pursuing my MS in Computer Science at UT Arlington while serving as a Graduate Archer Fellow researching AI policy in Washington, DC, and as an AI Systems Intern at the Embassy of Pakistan building secure, privacy-focused AI infrastructure. My work spans machine learning research, cloud-native systems, computer vision, LLM applications, cybersecurity, and full-stack development. I’ve led projects in retail analytics, autonomous systems, accessibility technology, and secure AI infrastructure, and I’m passionate about responsible, impactful AI.

Languages

Web & Frontend

Data & Tools

Cloud / Solutions

Cloud-native architecture, secure & scalable systems on AWS.

AI / ML

Machine learning, computer vision, and LLM-powered applications.

Software Engineering

Full-stack products shipped end to end with clean architecture.

Experience

Embassy of Pakistan, Washington, DC

AI Systems Intern

June 2026 – Present

• Developing secure, privacy-focused AI tools to support internal workflows while protecting confidential and sensitive data.
• Researching and prototyping LLM-powered systems designed around data minimization, access control, secure retrieval, and confidential information handling.
• Evaluating local and private LLM deployment approaches, RAG, secure prompt engineering, and role-based access control for sensitive environments.
• Applying cybersecurity principles including least-privilege access, encryption, audit logging, IAM, network segmentation, and secure system design.

UT System Archer Fellowship Program, Washington, DC

Graduate Archer Fellow, AI Policy Researcher

May 2026 – Present

• Conducting research on AI methodologies for sustainable development, responsible innovation, and policy-oriented AI governance.
• Studying the environmental impacts of AI infrastructure, including data centers, energy consumption, compute efficiency, and large-scale model deployment.
• Engaging with policy stakeholders, congressional staff, researchers, and public-sector leaders on AI, sustainability, and technology policy.
• Translating technical AI concepts into policy research focused on sustainable AI development and governance strategy.

University of Texas at Arlington

Graduate Assistant, Student Governance

May 2025 – May 2026

• Developed and maintained data-driven systems supporting student governance operations and reporting.
• Automated workflows and improved operational efficiency through scripting and structured data processes.
• Collaborated with university leadership and stakeholders on scalable organizational initiatives.

University of Texas at Arlington, Machine Learning Lab

Machine Learning Researcher

Sep 2022 – May 2025

• Conducted research in computer vision, autonomous systems, reinforcement learning, and AI-assisted accessibility technologies.
• Built machine learning pipelines involving object detection, tracking, image processing, and multimodal AI systems.
• Developed real-time AI systems using TensorFlow, PyTorch, OpenCV, and YOLO architectures.
• Presented research at UTA Innovation Day (3rd Place 2023, Judges' Choice 2024) and the UTA Student Computing Research Festival (Best Presentation 2024).

Student Government, UT Arlington

Student Body Vice President

May 2024 – May 2025

• Represented approximately 45,000 students in university governance and policy discussions.
• Led initiatives involving cross-functional collaboration, stakeholder communication, and operational planning.
• Helped expand the Maverick Discount Program through partnerships with 30+ local businesses.
• Executed the most successful recruitment campaign post-COVID and increased campus involvement.

Engineering Student Council, UT Arlington

President

April 2024 – April 2025

• Represented ~10,000 engineering students as umbrella for all engineering organizations.
• Organized regional engineering leadership conferences and coordinated industry engagement initiatives.
• Increased membership tenfold, restructured the organization, and organized the largest-attended event in years (~1,800 attendees).

Vandergriff Hall at UTA

Resident Assistant

May 2022 – April 2024

• Supervised a community of ~500 residents, organizing educational and recreational programs.
• Counseled peers on academic, personal, and professional concerns.