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Hanaa KhanHK
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Hanaa Khan

@hanaakhan

Software engineer at Atkins who developed C and Python modules for a safety-critical UK net-zero engineering project.

United Kingdom
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At Atkins, I developed C and Python software modules for a safety-critical UK net-zero engineering project. I also created C# automation tools and batch scripts to streamline testing and manual processes.

I applied software verification and validation practices and developed C and C# simulations to model engineering outcomes and support testing.

For my MSc final project, Once Upon a Tailored Tale, I built a generative AI tool using GPT-4 and DALL-E to produce children’s stories. I designed a multi-generation pipeline for culturally accurate character creation and engineered prompts and a user interface to support visual consistency across story pages.

I’ve also developed a Django ecommerce website for a non-profit and a transaction management application using React, TypeScript, Python, and FastAPI. At Xandr, I analysed client performance data with Python and REST APIs, investigated support cases, and contributed to recovering 60% of affected client revenue.

Experience

Work history, roles, and key accomplishments

Xandr logoXA

Solutions Consultant Intern

Xandr

Jul 2019 - Jul 2020 (1 year)

Analyzed client performance data using Python and REST APIs to identify issues and monetization opportunities. Worked directly with clients to diagnose technical issues and recommend solutions.

Education

Degrees, certifications, and relevant coursework

University of Bath logoUB

University of Bath

Master of Science, Artificial Intelligence

2022 -

MSc in Artificial Intelligence with focus on generative AI, prompt engineering, and inclusive design. Final project: Once Upon a Tailored Tale, a generative AI tool for personalized children's literature.

University of Westminster logoUW

University of Westminster

Bachelor of Science, Computer Science

2017 - 2021

BSc Honours in Computer Science with a study abroad at George Mason University. Final year project analyzed the effect of image noise on object detection using CNNs.

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