Hi, I'm Iliass 👋
I'm an AI and Computer Vision Specialist with expertise in Machine Learning, Deep Learning, and Web Development. I build intelligent, real-time systems and create responsive web applications using Python, Pytorch, and React.js. Passionate about solving real-world problems through technology.
London, UK
Available for new projects
About me
MSc Artificial Intelligence graduate with a First-Class Honours in Computer Science. At Rebel Energy Labs, I've developed everything from fish-counting AI for environmental conservation to enterprise compliance assistants. My technical toolkit includes Python, computer vision, and machine learning, with a knack for turning complex problems into practical solutions. When not training neural networks, I'm building user-friendly applications or improving data workflows. London-based problem-solver passionate about applying AI to create meaningful impact—just don't ask me to manually count fish anymore.
Experience
Here is a quick summary of my most recent experiences:
Graduate Data Scientist
- Developed a Fish Counter for a seagrass re-wilding charity using YOLOv8/11 and ByteTrack, enabling accurate tracking of fish populations in restoration projects.
- Build a full-stack exception management system using Django, TailwindCSS, Plotly, and Polars, reducing 20% of exceptions since release.
- Performed business-facing data analysis using SQL and PySpark, engaging in requirement gathering to extract insights and optimize workflows based on stakeholder needs.
- Designed and proposed a payment allocation model to improve the efficiency and accuracy of the business's bulk billing process, ensuring smoother payment handling and better financial management.
- Managed and mentored data analysis interns, providing guidance and technical QA.
- Conducted anomaly detection research, evaluating multiple techniques such as Isolation Forest, Autoencoders, Local Outlier Factor (LOF), and Clustering to enhance data-driven decision-making.
- Engineered RegulationsLLM, an AI compliance assistant using LangChain, RAG, and prompt engineering that extracts insights from Ofgem regulations through a Streamlit interface, enabling non-regulatory teams to easily understand compliance requirements.
Sep 2024 - Present
Computer Vision trainee
- Collaborated with the head of the Computer Vision team, gaining hands-on experience in object detection for self-checkout systems.
- Applied deep learning techniques to develop a model capable of accurately detecting items in real-time.
Apr 2024 - Jul 2024
Web Technology Intern
- Shadowed employees in the web development division and gained an insight into project management and teamwork with other employees.
- Developed a quiz website using HTML, CSS, and JS. The website extracted data from an API and automatically displays the quiz results.
Oct 2019 - Oct 2019
Projects
Some project I have worked on:
Bundesliga Football player detection
A real-time football player detection and tracking system using YOLOv8, combined with advanced tracking algorithms such as ByteTrack and DeepSORT. The system ensures accurate player identification and continuous tracking across frames, enabling detailed performance analysis and providing valuable tactical insights for match evaluation.
Python
Ultralytics - Yolov8
Supervision
OpenCV
NumPy
Matplotlib
Pandas
VisionBuilder
A user-friendly drag-and-drop website builder designed for developers. It allows seamless integration of pre-existing code into the design interface, enabling real-time code viewing and editing. The streamlined workflow ensures easy export of completed designs as HTML and CSS files, blending the complexity of coding with the simplicity of visual design.
Python
Django
Django REST
Vue
TailwindCSS
Get in touch
Looking for a developer, have a question, or just want to connect? Feel free to get in touch!
iliasselyaa@hotmail.com
+44 7770956895
You may also find me on these platforms!