Case study 01
Alchemi
Built an educational content platform during a Microsoft Hackathon. I developed a serverless ETL pipeline that extracts and structures learning objectives from multi hundred page syllabi for personalized AI tutoring.
Projects
These projects were built to solve real problems and communicate the result clearly. The intent was always the same: make the software feel credible, useful, and complete.
Case study 01
Built an educational content platform during a Microsoft Hackathon. I developed a serverless ETL pipeline that extracts and structures learning objectives from multi hundred page syllabi for personalized AI tutoring.
Case study 02
Built a real time face recognition system using OpenCV and deep learning, with a Flask interface for live monitoring and alerts. The focus was dependable feedback loops and low friction operation.
Case study 03
Developed an AI peer support mental health app. The system stores conversations in Firestore and uses TensorFlow plus Gemini API integration to deliver empathetic, context aware responses.
Case study 04
Led database migration in a 4 member team to modernize SAFEHR from a legacy PHP iPad only app into a cross platform simulation platform with integrated reporting for student outcomes and learning metrics.
How I build
Each project page should tell a recruiter what was built, why it mattered, and what stack made it possible.
I prefer spacing, hierarchy, and interaction polish that make the work feel deliberate rather than generic.
The goal is software that solves a problem clearly enough to be understood in one scan.
Open for work