Himanshu Singh

I’m a B.Tech (Computer Science and Engineering) student focused on machine learning applications—especially end-to-end NLP pipelines and real-world analytics. I enjoy turning raw data into usable models, then presenting results through clear visual dashboards.

In my Healthcare Report Summarization and Medical Entity Extraction project, I built a custom attention-based Transformer encoder-decoder to process synthetic medical reports across 14 hospital departments. I extracted conditions, medications, procedures, symptoms, and lab results using a CRF-based NER head, and achieved ~100% overall F1 while generating extractive summaries via a Pointer-Generator network.

For public transport route optimization, I developed an unsupervised learning pipeline to segment passengers into behavioral clusters using K-Means, DBSCAN, and Agglomerative clustering. I engineered 19 features, applied PCA, evaluated clustering with Silhouette and other indices, and produced route recommendations in an interactive Chart.js dashboard.

I’ve also strengthened my foundations through C++ DSA training (50+ core data structures and algorithms) and built a Contact Management System with CRUD operations and data validation. I bring problem-solving, adaptability, and self-learning to every project, and I’m eager to apply these skills in a role that values practical ML engineering.