Computer Science Student · AI & Software Development
First-year Computer Science student at King's College London. My strongest work is in machine learning and computer vision, with current work extending into neural data and EEG. I also build and deploy web products for clients.
YOLO detects street signs, crosswalks, traffic lights, stairs and hazards. OCR reads text aloud with real-time audio guidance. I built and annotated the ~1,500-image dataset.
A BCI pipeline for neural representations that transfer across recording modalities. It combines contrastive learning with EEG preprocessing, artifact rejection, provenance logging and channel-importance gradients.
View on GitHubAn LSTM trained on symbolic music to generate short sequences with learned structure and phrasing.
View on GitHubCore machine-learning algorithms implemented by hand to understand the mechanics beneath library abstractions.
View on GitHubLive product, built and deployed end to end. Client code isn't public.
Single-page site with appointment booking for a practising psychologist. Turkish-language, designed and built end to end.
Visit siteI'm Seyyide, a Computer Science student at King's College London working across artificial intelligence and software engineering.
My work spans computer vision, machine learning and web development, from data preparation and model development through integration and deployment. I am also extending into neurotechnology, particularly EEG signal processing and neural representation learning.