Hasnain Syed

Experience

• Built and shipped mobile and web apps used by 1,000+ users, owning the full product lifecycle from first idea to live product.
• Operated as a one-person product team across product design, full-stack engineering, user research, and go-to-market execution.
• Turned user feedback into roadmap decisions and shipped improvements in tight cycles that converted more users into paid customers.

• 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

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%.

Projects

Education

Skills