Sukhsimran Singh

I’m a Computer Science undergraduate specializing in Machine Learning and Generative AI, with hands-on experience building ML pipelines, NLP systems, and deploying full-stack applications. I focus on practical performance and reliability, from feature engineering and model evaluation to explainability using SHAP and model reliability testing.

I’ve built end-to-end solutions like a real-time sepsis early detection system (Sepsis-3 criteria) with SHAP-based clinical interpretability and an OCR-ingesting, RAG-based clinical assistant. I also develop NLP products such as a resume screening AI using BERT embeddings and section-wise scoring, plus classifiers and prediction models that I deploy with FastAPI/Flask and modern tooling—backed by a Data Science Trainee internship where I was recognized as Top Performer.