Saurabh kumar sah

I’m a Computer Science graduate from Galgotias University with a strong foundation in software development, algorithms, and AI/ML, and I focus on turning advanced models into practical, user-ready products. I enjoy building Generative AI and LLM-based applications that solve real problems through thoughtful design, testing, and iteration.

Through my remote internships, I’ve sharpened both the modeling and deployment side of the work. At Code Alpha, I developed supervised machine learning models in Python using scikit-learn for predictive analytics and improved accuracy by 15% by implementing data preprocessing pipelines for cleaning, feature engineering, and normalization. At AWS Academy AICTE, I designed scalable AWS architectures and configured core services like EC2, S3, and IAM, while also implementing cost-optimization strategies and access control policies for secure and efficient deployments.

My projects reflect my interest in multimodal and healthcare-focused AI—such as a “Medicine Recommendation System” using Python, Flask, and a MySQL-backed approach to achieve 85% symptom-to-medicine prediction accuracy with an interactive UI, and a “Voice Chatbot AI” that combines ASR (Speech-to-Text), LLM-based reasoning, and TTS (Text-to-Speech) using Gradio. I also published an IEEE research paper on hybrid healthcare frameworks, and I bring the same mindset—engineering rigor, prompt/model awareness, and latency-conscious optimization—to every system I build.