Projects & Research

Work at the intersection of software engineering and biomedical research: full‑stack applications, AI‑driven EMR analysis, medical imaging pipelines, and clinical research.

Featured Projects

Parse-EMR Prompt Design System (Fluffy)

AIM-HI Lab, Cleveland Clinic • Summer 2025

Full‑stack web app enabling non‑programmers to visually design and launch AI chart review projects. Bridges complex EMR parsing infrastructure to clinical researchers via an intuitive, no‑code interface and config‑based automation.

Key Features

  • • Visual workflow designer for AI prompts
  • • Real‑time collaboration
  • • Automated EMR parsing/validation
  • • Analytics & reporting dashboard
  • • Google Gemini/Qwen integration
  • • Token management & rate limiting
  • • Caching for performance
Django Python PostgreSQL Google Gemini Qwen AI AWS
4000+
Chart Analyses
15+
Cross‑Dept Users
10+
Research Abstracts
📱
Multi‑Platform App
iOS • Android • Windows • macOS

Dunlin - Goal Tracking App

Congressional App Development Challenge

Cross‑platform app for organizing and tracking personal goals with SMART milestones, progress analytics, sync, and habits.

Stack

React Native Electron JavaScript SQLite Firebase
View on GitHub

Current Research

AIM-HI Lab Research Scholar

Cleveland Clinic • Summer 2025

Built the full‑stack web application enabling non‑programmers to design and launch AI chart review projects; used in 4000+ analyses by 15+ users across departments.

Parse-EMR Prompt Design System

No‑code prompt builder used in 4000+ chart analyses.

Lab Website & Imaging Pipeline

Imaging pipeline for 1,000+ CT scans; supports 10+ abstracts.

Synthetic LLM & Testing

Synthetic LLM & patient data generation for debugging.

Gemini Code Classification

Classified 1.9M diagnosis codes; kidney cancer focus.

Research Impact

10+
Abstracts
4000+
Analyses
1,000+
CT Scans
15+
Users

Tools & Methods

Python Django PostgreSQL Google Gemini SQLite React DICOM Radiomics AWS

Additional Projects

AIM-HI Lab Website

Comprehensive lab website featuring publications, team profiles, and interactive showcases.

React Node.js CMS
Status Live Site

AI Medical Imaging Analysis

Completed programs on AI medical imaging and prognostics; applied to kidney cancer research with radiomics.

PythonRadiomics
Programs2 Completed

This Website

Personal portfolio with Three.js animations and responsive design.

HTML5TailwindThree.js
StatusLive

Previous Research Experience

COSMOS Advanced Science Program

UC Irvine • Summer 2023

Chemotherapy Drug Analysis Research

Analyzed the impact of Dasatinib on colon cancer cells using mass spectrometry; identified 3 key biomarkers among 10,000+; built Python/R tools for analysis.

Key Achievements
  • • Identified 3 key biomarkers
  • • Built Python and R analysis programs
  • • Modeled tissue/tumor growth with optimization tools

Research Methodology

Mass Spectrometry Analysis
Statistical Data Analysis
Biomarker Identification
Tissue/Tumor Growth Modeling

Tools & Technologies

PythonRMATLABSciPyPandas

Research Interests

AI‑Driven Clinical Research

No‑code platforms that let medical professionals leverage AI without technical expertise.

Clinical AINo‑CodeChart Review

Medical Imaging & Radiomics

CT‑based radiomic analysis to predict oncologic outcomes.

RadiomicsMedical ImagingAI Prognostics

Cancer Biomarker Research

Mass spectrometry analysis, biomarker discovery, and drug efficacy assessment.

Mass SpectrometryBiomarkersDrug Analysis

Healthcare Automation

Automated systems for patient data processing and clinical workflows.

Workflow AutomationPatient DataClinical Systems

Interested in Collaborating?

I’m always excited to work on projects that combine technology with meaningful impact in healthcare and research.

Get In Touch About Me