Coupled thermal modeling
A conducting slab coupled to Al–Zr cluster kinetics, with thermal and chemical history carried between processing and service.
Scientific Computing · Research Software · AI Evaluation
Scientific models. Reproducible software. Results you can check.
I'm a mechanical engineer and software developer working across numerical modeling, computational mechanics and scientific AI evaluation. My current Kepler project work includes coupled thermal models, numerical verification and scientific benchmark prototypes.
I build command-line workflows with Python, NumPy and SciPy, compare calculations with reference solutions, and document the assumptions and limits behind each result.
Current project work
Computational physics prototypes built around explicit models, reference calculations and verifiable outputs.
A conducting slab coupled to Al–Zr cluster kinetics, with thermal and chemical history carried between processing and service.
Independent solver comparisons, conservation checks, selected resolution refinements and automated tests of command-line inputs and outputs.
Reference checks for AI-generated solutions, including generalized eigenvalue problems, repeated modes and directional sensitivity.
Current applications focus on materials physics and mechanics. Heat transport and numerical validation provide methodological overlap with geophysical and environmental modeling. These prototypes use synthetic inputs and have stated scientific and execution limits.
Selected work
Scientific prototypes, a Python constraint solver, workflow software and Unreal Engine game designs. Open a card for its approach and current status.
Core philosophy
From scientific calculations to interactive software, I build around explicit assumptions, reproducible behavior and checks against known results.
Expertise
The tools and techniques I use, from engine systems to the numerical methods underneath.
Behind the code
My background in mechanics shapes how I build scientific and production software: define the model, make assumptions explicit, check against known answers, and measure behavior. Kepler gives that approach a practical focus in numerical modeling and scientific evaluation.
Project work on coupled thermal and kinetic prototypes, reference calculations, numerical checks and evaluation of AI-generated scientific solutions.
Built structural-engineering benchmark tasks for AI coding agents, with reference solutions, tests, scoring logic and reproducible evaluation.
Production correspondence system in Flutter with Clean Architecture, OCR/PDF import, authentication hardening and Docker deployment.
Mobile, desktop and web applications with automated tests and deployment workflows.
Prompt writing, response evaluation, STEM rubrics and bilingual (Arabic/English) quality review.
English program.