Bridging AI Research & Computational Engineering.
A premium portfolio experience with cinematic motion, elite UI depth, and a research-first interaction system.
AI workflows that remain interpretable under rapid experimentation.
Computational theory turned into high-signal interactive software.
Research narratives presented with publication-grade design.
Project Gallery
Computational Superstring Dynamics and Compactification Simulator for classical string dynamics, Fourier mode spectrum analysis, Calabi-Yau hypersurface visualization, and brane configuration modeling.
A multi-agent reinforcement learning environment built on quantum game-theoretic principles where agents learn strategies in an SU(2) quantum strategy space under entanglement and noise.
An explainable AI-powered decision support platform for artwork analysis combining computer vision, adaptive intelligence, and forensic-style reporting.
An end-to-end single-cell RNA sequencing analysis and visualization platform built with FastAPI, Scanpy, and AnnData for real biological datasets and interactive UMAP exploration.
A Space-Time Graph Neural Network for modeling the large-scale structure of the universe with physics-informed constraints, reproducible training, and Three.js visualization.
A real-time chaos visualization system using double pendulum dynamics, physics-based numerical simulation, and interactive 2D and 3D visualization for research and education.
Blog Engine
A practical framework for building AI infrastructure that stays experimental without collapsing into chaos.
Why strong engineering work in research is often the art of translating abstract ideas into repeatable machinery.
Lightweight text formats still outperform heavier systems when researchers need portability, versioning, and clarity.
Founder Profile
Software Engineer
Focus
AI + Compute
Mode
Research First
Style
Precision Build
Operating Principle
Build elite interfaces, but keep the architecture understandable enough that future work becomes easier.
Contact & Socials