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I'm a Computer Science with Artificial Intelligence graduate specializing in deep learning for visual computing and AI engineering. I have hands-on experience with diffusion models, image super-resolution, and denoising, plus hands-on research in generative AI and computer vision. I'm proficient in PyTorch, TensorFlow, and OpenCV, with a strong foundation in model optimization, reproducibility, and experimentation. I'm passionate about advancing visual computing, computer graphics, and generative AI applications.…I'm a Computer Science with Artificial Intelligence graduate specializing in deep learning for visual computing and AI engineering. I have hands-on experience with diffusion models, image super-resolution, and denoising, plus hands-on research in generative AI and computer vision. I'm proficient in PyTorch, TensorFlow, and OpenCV, with a strong foundation in model optimization, reproducibility, and experimentation. I'm passionate about advancing visual computing, computer graphics, and generative AI applications.

Farah Elsaid

Front-End Developer, Game Developer, UX Designer, +6

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I'm a Computer Science with Artificial Intelligence graduate specializing in deep learning for visual computing and AI engineering. I have hands-on experience with diffusion models, image super-resolution, and denoising, plus hands-on research in generative AI and computer vision. I'm proficient in PyTorch, TensorFlow, and OpenCV, with a strong foundation in model optimization, reproducibility, and experimentation. I'm passionate about advancing visual computing, computer graphics, and generative AI applications.…I'm a Computer Science with Artificial Intelligence graduate specializing in deep learning for visual computing and AI engineering. I have hands-on experience with diffusion models, image super-resolution, and denoising, plus hands-on research in generative AI and computer vision. I'm proficient in PyTorch, TensorFlow, and OpenCV, with a strong foundation in model optimization, reproducibility, and experimentation. I'm passionate about advancing visual computing, computer graphics, and generative AI applications.

Available to hire

I’m a Computer Science with Artificial Intelligence graduate specializing in deep learning for visual computing and AI engineering.

I have hands-on experience with diffusion models, image super-resolution, and denoising, plus hands-on research in generative AI and computer vision. I’m proficient in PyTorch, TensorFlow, and OpenCV, with a strong foundation in model optimization, reproducibility, and experimentation. I’m passionate about advancing visual computing, computer graphics, and generative AI applications.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Front-End Developer Intern at Sew Bee-Cause

September 1, 2024 - August 27, 2025

Designed and optimized the company's website UI/UX using HTML5, CSS3, and JavaScript (ReactJS), improving navigation, branding consistency, and accessibility (WCAG 2.1 AA). Improved SEO and site performance via minification, caching, and image optimization, cutting load time by approximately 10%. Built interactive features such as newsletter, events calendar, and YouTube integration, boosting engagement and site usage. Collaborated in a remote Agile team, managed code with Git/GitHub, and participated in peer reviews to ensure high-quality and maintainable code.

AI Diffusion Models Research Intern at University of Nottingham

August 1, 2023 - August 27, 2025

Conducted academic research on diffusion models for AI-generated art and image super-resolution, contributing to model enhancements for publication. Implemented and tested Python-based machine learning algorithms to improve output quality and processing efficiency. Analyzed results using quantitative metrics and collaborated with faculty to refine model accuracy. Produced detailed technical documentation of experiments to support reproducibility and future research.

Front-End Developer Intern at Sew Bee-Cause

September 20, 2024 - October 15, 2025

Designed and optimized the company’s website UI/UX using HTML5, CSS3, JavaScript (ReactJS), improving navigation, branding consistency, and accessibility (WCAG 2.1 AA). Improved SEO and site performance (minification, caching, image optimization), cutting load time by ~10%. Built interactive features (newsletter, events calendar, YouTube integration) boosting engagement and site usage. Collaborated in a remote Agile team, managing code via Git/GitHub and participating in peer reviews to ensure high-quality, maintainable code.

AI Diffusion Models Research Intern at University of Nottingham

August 20, 2023 - October 15, 2025

Researched denoising diffusion probabilistic models (DDPMs) for image generation and super-resolution, adapting the Deno Diffusion codebase to improve efficiency and fidelity. Optimized denoising schedules and diffusion steps, achieving faster training convergence and sharper outputs. Evaluated results using PSNR, SSIM, and qualitative benchmarks, collaborating with faculty to refine architectures. Authored detailed experimental documentation to ensure reproducibility and academic publication readiness.

Front-End Developer Intern at Sew Bee-Cause

September 20, 2024 - October 15, 2025

AI Diffusion Models Research Intern at University of Nottingham

August 20, 2023 - October 15, 2025