I am an AI engineer and graduate student in Artificial Intelligence at Yeshiva University. My work focuses on building machine learning systems, data pipelines, and AI powered applications. I have built systems across healthcare software, e commerce platforms, and AI driven tools. Previously I developed healthcare systems used by clinics and built machine learning pipelines supporting data analysis and operational insights. Today I focus on building practical AI systems including forecasting models, LLM applications, and backend platforms that support real world use cases.

Built an AI driven demand forecasting system designed to help e-commerce merchants plan inventory using machine learning predictions. Developed data pipelines that ingest merchant sales data, generate forecasting features, and train predictive models. Built backend services using Python and FastAPI to support real time forecasting APIs. Deployed containerized services on AWS and implemented workflows for model retraining and monitoring.

Developed healthcare software platforms used by clinics to manage patient records and operational workflows. Built backend systems for clinical data ingestion, analytics, and reporting. Implemented AI assisted diagnostic workflows and rule based decision support tools. Designed secure APIs and infrastructure for systems handling sensitive healthcare information.

Redesigned backend architecture for an e-commerce platform improving system performance by more than 50%. Developed scalable APIs supporting high traffic workloads. Implemented containerized deployment workflows using Docker and Linux. Maintained production infrastructure and resolved operational system issues.

Built secure web based systems supporting legal operations and document workflows. Improved backend and frontend integration to reduce system complexity and improve performance. Maintained production systems and implemented improvements to data handling and system reliability.