Amer Hussain

Deployed and supported EMR systems used by 75+ clinicians, providing technical training and frontline troubleshooting. Conducted data wrangling and visualization using Python and Power BI to support hospital-level operations decisions. Automated daily operational reports using Python scripts, reducing manual processing time by 60% and improving visibility for hospital management on patient trends and resource allocation. Gathered cross-departmental feedback and translated user needs into system improvements – acting as a liaison between clinical and technical teams.

Built and deployed Reinforcement Learning models for road network optimization, reducing project cost by optimizing layout and maximizing lot yield. Integrated models into CI/CD pipelines using Azure DevOps and Git, enabling automated testing, retraining, and rollout. Debugged, tested, and optimized back-end ML modules for performance bottlenecks and runtime reliability. Researched and evaluated applications of GNNs, GANs, and Diffusion models for civil infrastructure use cases. Wrote technical documentation and collaborated with front-end teams to integrate ML output into production dashboards. Collaborated with data engineers to design scalable data input pipelines for ML models, enabling faster experimentation and improved model reproducibility across environments.

Developed and deployed VCF variant parser (VDB Screener) with optimized performance for Whole Exome Sequencing data. Built a custom LLM chatbot using Python and NLP frameworks to improve accessibility of genetics education. Maintained version control workflows and handled model/data validation to ensure safe clinical outputs. Co-led a $350K grant application on using AI for cardiovascular disease treatment via genomic mapping, including proposal writing and technical roadmap planning.