January 13, 2026
October 29, 2025
August 21, 2025
August 18, 2025
August 16, 2025
A compliance-first, no-PHI playbook for fast healthcare IT ticket triage and routing.
Built from real Epic service desk experience in regulated hospital environments.
I connect front-line healthcare IT with applied analytics to reduce downtime and improve patient care.
My focus is Epic EHR support, cloud solutions, and applied machine learning that deliver reliable, measurable results in healthcare operations.
| Category | Stack / Tools |
|---|---|
| Languages | Python · SQL · JavaScript |
| ML / Data | Pandas · NumPy · scikit-learn · TensorFlow · PyTorch · OpenCV · Power BI |
| Cloud / DevOps | Azure ML · Git · Jupyter · Jira |
| Healthcare IT / EMR | Epic EHR support · Clinical workflow troubleshooting · Incident triage |
| Other | Scientific writing · Public speaking · Team collaboration |
| Driver Behavior Detection System | Built a CNN + BiLSTM pipeline achieving 99.1% accuracy to detect distraction and drowsiness with OpenCV. Journal of Big Data (2024) |
| AI Stock Sentiment Analysis | Developed a real-time Twitter sentiment pipeline (RNN/LSTM) with live push alerts and 85% bullish precision. |
| Healthcare IT Service Desk | Resolved 100+ weekly Epic and IT tickets, authored 30+ KB docs, and reduced average resolution time by 30%. |
| M.S. Computer Science (Big Data Analysis) — Florida Atlantic University, 2024 | GPA 4.0/4.0 |
| B.A. Computer Science (Applied Mathematics) — Florida International University, 2020 | UPE Honor Society |
Honors