Software Engineer · Medical Physicist · Data Visualization Developer
_{Transforming complex data into clarity in healthcare, science, and code.}

I'm a medical physicist turned full-stack developer, building reliable, data-driven tools for hospitals and analytics platforms.
My work blends scientific accuracy with modern web engineering, focusing on transparency, visualization, and intelligent workflows.

• 💻 Developing Next.js / TypeScript applications for data dashboards and process automation
• 📈 Passionate about data visualization, clean architecture, and reproducible results
• 🩻 8+ years in medical imaging, radiation protection, and quality control

Centralized monitoring of radiation dose data for hospital staff.

Stack: Next.js 15 · TypeScript · Prisma ORM · PostgreSQL · Tailwind CSS · shadcn/ui · Recharts

• Designed real-time dashboards for dose trends, exceedances, and regulatory compliance
• Built secure role-based access and modular API routes
• Integrated data visualization layers mirroring real hospital dose logs

Environmental data meets design.

Stack: React + Vite · TypeScript · PostgreSQL · Perenual API

• Displays live plant-care metrics with a clean, responsive UI
• Includes AI chat for plant health insights

Behavioral data visualization for music analytics.

Stack: React · Node.js · GraphQL · MongoDB · Chart.js

• Built custom dashboards for listening habits
• Implemented Spotify OAuth + GraphQL APIs

Category	Technologies
Languages
Data / Analytics
Frontend
Backend
Databases
Testing & QA
DevOps / CI/CD
Build & Tooling
Auth & Security
Linting & Formatting
Monitoring / Analytics
Project Management
Tools

As a Physicist in Medical Imaging & Data Analysis, I worked on:

• 🧠 Designed and implemented Power BI and SQL dashboards to monitor imaging workflows across CT, MRI, and X-ray modalities.
• ⚙️ Improved operational efficiency by analyzing large imaging datasets and automating data-processing pipelines.
• 🧮 Developed automation scripts in Python and JavaScript for data cleaning and visualization tasks.
• 📡 Applied technical knowledge in DICOM/PACS, ETL, and workflow analytics to optimize clinical imaging operations.

That analytical mindset now powers how I write software: validate, visualize, and iterate, like any good experiment.

• 🧬 Medical imaging data pipelines
• ☢️ Radiation safety automation
• 💡 Visualization of uncertainty & outlier detection
• 🧩 Cross-disciplinary tools bridging physics and software

📖 Explore my research on ResearchGate

Recent publications and collaborations include:

• Implementation of Quality Control Protocols for MRI and CT Systems: workflow optimization and reproducibility in large hospital networks.
• Radiation Dose Monitoring Framework for Interventional Radiology: data-driven safety management.
• Automation of Image Data Processing in Medical Physics: integrating Python and SQL-based analytics pipelines.

_{🔭 “Precision is not just for physics, it's how I write code.”
⭐ If my projects resonate with you, consider leaving a star!}