Summary
Amal Byju is a data engineer with nine years of experience building data-driven solutions and production pipelines, currently at Clinical Ink after progressing from intern to consultant to full-time engineer. She blends practical engineering with a strong academic foundation—an MS in Information Systems from the University of Maryland and a BTech in Computer Engineering—plus published conference papers in machine learning and communications. Amal has hands-on experience optimizing distributed Spark workloads (including a Grafana dashboard for cluster resource analysis) and has implemented high-accuracy CNN ensembles for COVID detection, demonstrating both systems and ML fluency. Her background spans internships and fellowships where she focused on data transformations and analytics, making her comfortable across ETL, monitoring, and model development. She enjoys turning raw data into stories and metrics that drive operational change, and she actively seeks opportunities that combine statistics, programming, and real-world impact. An understated strength is her track record of moving from research prototypes to usable production tooling that shapes team decisions.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Information Systems, Master of Science - MS, Information Systems at University of Maryland
Bachelor of Technology - BTech, Computer Engineering, Bachelor of Technology - BTech, Computer Engineering at National Institute of Technology Karnataka