Jennifer Olisakwe

I’m an AI/ML and full-stack engineer focused on shipping scalable, production-ready software with clean architecture and practical performance wins. In my Full-stack Software Engineer Intern role, I revamped an application design and refactored the codebase to adhere to best coding practices—delivering 32% faster load times and a 15% reduction in memory usage.

I also build applied AI systems end-to-end. I architected an AI healthcare referral platform with FastAPI, React, PostgreSQL, Docker, and AWS, using 50+ REST APIs; an OCR + LLM pipeline reduced referral processing from 27 minutes to ~2 minutes, and duplicate patient detection plus JWT authentication, RBAC, WebSockets, and DICOM-ready storage helped drive an estimated 360 clinical hours/month in workflow savings. On my fracture detection project, I used YOLOv8, FastAPI, and OpenCV for ~3-second inference and added Grad-CAM explainability and confidence scoring to improve clinician trust while reducing review bottlenecks by an estimated 40–50 minutes per shift.