Debmalya Bhaumik

Performed data analysis and annotation on large-scale datasets to support AI/ML model training and evaluation. Ensured data quality and accuracy through structured review and validation processes.

Advised on publishing workflows, content development, and production processes for client projects. Collaborated with editorial and production teams to support manuscript and content delivery timelines.

Designed and deployed an Electronic Health Record (EHR) system using Spring Boot, MySQL, and React, automating patient data processing for multiple centres. Integrated RESTful APIs for data communication, improving backend performance by 30% and response reliability.

Built and executed automated vulnerability scanning tools using Python, reducing manual testing time by 25%. Applied ML-driven anomaly detection techniques to improve system threat identification.

Completed a full-stack development internship at the National Informatics Centre, designing and deploying an Electronic Health Record system.

Completed a cybersecurity internship at the National Informatics Centre, focusing on automated vulnerability scanning and ML-driven anomaly detection.