Hi, I'm Joydeep Das
AI Researcher & HPC Developer
I create intelligent systems and high-performance scientific tools that transform complex data into actionable insights, blending AI innovation with rigorous research.
I create intelligent systems and high-performance scientific tools that transform complex data into actionable insights, blending AI innovation with rigorous research.
Here are some of my recent works that showcase my skills and expertise
AI tool analyzes chats, manages real estate leads via Google Sheets integration.
AI tool prioritizes tasks and generates daily work plans for teams.
AI tool auto-categorizes and prioritizes support tickets for faster resolution.
Explore how magnetic fields guide charged particles in fusion devices - configurations, parallelization.
Reducing CPU-GPU bottlenecks in Monte Carlo radiation therapy using CUDA Unified Memory.
Python tool visualizes EFIT flux surfaces, builds simulation grids using Euler integration.
Simulating coarse-grained polymers to study θ-solvent behavior and ideal chain transitions.
Exploring polymer dynamics: theory, experiments, and temperature-driven coil-globule transitions summary.
Conformal mappings reveal asymptotic structure of Minkowski and Schwarzschild spacetimes, highlighting compactification insights.
Larmor’s formula links charged particle motion to radiation, enabling cyclotron applications exploration.
My professional journey and key achievements
Research papers and articles I've contributed to in the field of my research
Revision to Journal Nuclear Fusion
Revision to Journal Plasma Phys. Control. Fusion
With a background rooted in computational physics and data-driven research, I’ve spent the past several years working at the intersection of high-performance computing (HPC), data science, and AI for scientific applications. My journey began with simulation-heavy research in particle and polymer physics, which evolved into a broader focus on building intelligent, automated systems for scientific insight and operational efficiency.
From exploring magnetic field dynamics in plasma to building AI agents for task planning and real-time sentiment analysis, I aim to extract meaning from complexity—using data as the bridge between theory and impactful action.
I hold a Masters degree in Physics and have contributed to a range of interdisciplinary projects involving scientific computing, machine learning, and HPC pipelines across domains like healthcare, real estate, and advanced materials.
I specialize in creating systems that combine scientific rigor with data intelligence, from simulating complex physical systems to crafting AI workflows that support faster decisions in technical domains. My philosophy is grounded in clarity, reproducibility, and high-impact design, where HPC meets AI, and insight follows.
Have a project in mind or want to collaborate? Feel free to reach out!