Abdul Samad Shaik

I am an AI-focused machine learning engineer with hands-on experience designing, training, and optimizing models for research and product platforms.

At Intellect Informatics I evaluate and test a low-code/no-code IDE for ML workflows, collaborate with developers to improve ML components, and validate model-driven features to enhance user experimentation speed and reliability.

My university projects include antimicrobial peptide prediction and breast cancer detection, where I led data preprocessing, feature engineering, and model optimization to achieve significant accuracy gains and evaluation improvements.

I have contributed to multiple publications on summarization and hybrid ML approaches for biomarker and miRNA-disease prediction, and I hold industry certifications in AI and software engineering that complement my technical toolkit.