About
I build practical software end-to-end, from ML systems to production-ready web apps.
Work Experience
Worked on computer vision and production ML systems for industrial anomaly detection.
RAG infrastructure, semantic retrieval, backend systems
PCB defect inspection platform, full-stack development, ML pipelines
Education


YOLOv11 obstacle detection, OpenCV pipelines and MAVLink communication
Skills
Featured work
Built an interactive visual board for iterative AI image editing. Users paste images, draw annotations, and add text notes on a canvas, then a Codex plugin and MCP server parse those marks into edit instructions and place generated results back on the board.
Built a healthcare operations platform that combines outbound patient calling, doctor workflows, and a nurse-facing 3D hospital digital twin. Teams can explore floor plans, inspect patient rooms, and run structured phone check-ins from one integrated stack.
Hackathons

GenAI Genesis
Canada
AI Hospital Management System ranked Top 10 out of 300 teams.
Feel free to reach out at ahashar@uwaterloo.ca :)




