Hasnain Syed
Started with Python in 2020, writing automation scripts that saved clients hours of manual work. That foundation led me to full-stack development in 2023.
Alongside building products, I completed a Master's in AI (2024-2025) to deepen my technical foundation. Now I architect complete systems including databases, interfaces, APIs, and ship them.
Built multiple products from scratch, comfortable with ambiguity, obsessed with making things work.
Experience
Research Assistant
Anglia Ruskin University
Jan 2025 - Apr 2025
- Built a novel multi-platform misinformation dataset by extracting data from TikTok, X.com, and Odysse.
- Engineered data pipelines to structure and prepare unstructured text for NLP model training.
- Created interactive dashboards to visualize insights and communicate findings to stakeholders.
Publications
Semantic Segmentation For Landslide Detection Using Segformer
SGAI-2024 ยท Lecture Notes in Computer Science
This research aims to achieve state-of-the-art results for landslide segmentation using aerial images. Experimental results show the advantage of the Segformer model in segmenting landslide areas, with the largest Segformer variant achieving an Intersection over Union (IoU) score of 87.795% on the Unmanned aerial vehicle (UAV) dataset, surpassing the previous state-of-the-art model, Multiscale Feature Fusion and Enhancement Network (MFFENet), by 3.4%. On the Satellite (SAT) dataset, Segformer attained an IoU score of 79.300%, outperforming the previous best model, DeepLabv3+, by 11.163%. For the combined UAV&SAT dataset, Segformer achieved an IoU score of 85.157%, surpassing DeepLabv3+, the best previous model by 5.032%.