👋 Hi, I’m Pawan Rama Mali — AI/ML Researcher & Open-Source Developer

I build practical, high-impact open-source tools across R, Python, Shiny, and machine learning, with a strong focus on:

• Clinical data automation
• R Shiny apps for analytics, visualization, and automation
• Federated learning and multimodal AI for oncology and biomedical research
• Lightweight LLMs and on-device inference (EdgeModelR, SCALE)
• Data processing, dashboards, and reproducible scientific workflows

My work bridges academia, healthcare, and industry—helping research teams, students, and organizations use advanced AI in ways that are transparent, compliant, and accessible.

🚀 What I’m Working On

📊 R Shiny Apps for Data Science & Healthcare

Reusable open-source modules for:

• Exploratory analysis
• Risk-based monitoring
• Interactive dashboards and reporting workflows

🤖 EdgeModelR — Run LLMs locally from R

A complete interface to load, run, and evaluate small LLMs on laptops and edge devices—no cloud required.

📦 shinypayload

A new R package allowing data transfer within Shiny on the same port—simplifying secure deployments and analytics pipelines.

🧠 Generative & Multimodal AI Research

Working on transformers for histopathology, genomics, synthetic data generation, and federated learning workflows.

❤️ Why Your Sponsorship Matters

Open-source has powered nearly every tool I’ve built. Your support helps me:

• Allocate dedicated time to maintain and improve packages
• Add new features requested by the community
• Build documentation, tutorials, and reproducible examples
• Support students & researchers who rely on these tools
• Explore new ideas in multimodal AI and R/Python interoperability

Even a small sponsorship helps keep these projects active, stable, and growing.

🌟 How I Use Sponsor Funds

Your contributions go directly toward:

• Development time for open-source R/Python packages
• GPU & compute resources for model training and benchmarking
• Infrastructure for demos, tutorials, and reproducible deployments
• Supporting young researchers and interns who contribute to the ecosystem

🙏 Thank You

If my tools, code, or research have helped you in your work, consider becoming a sponsor.
Your support accelerates the development of reliable, community-driven tools for AI, clinical data, and research computing.

Let’s build powerful open-source solutions together. 💙