Computational Physicist and AI Coding-Agent Evaluation Specialist

Worked as an independent part-time remote contractor, completing approximately 3,600 hours across more than 1,800 specialist technical tasks in physics reasoning, computational modelling, scientific-code evaluation, model-response comparison, and reference-solution development. Designed demanding evaluation tasks spanning mechanics, fluid dynamics, electrodynamics, optics, thermodynamics, quantum physics, astrophysics, mathematical modelling, and computational methods.

Validated AI-generated reasoning and code by reviewing agent workflows, repository changes, terminal output, dependencies, numerical evidence, and debugging approaches. Assessed units, sign conventions, conservation laws, limiting behaviour, mesh and timestep sensitivity, stability, uncertainty, and agreement with independent calculations. Used Claude, Claude Code, Claude Science, Claude Cowork, Codex, and Codex CLI for scientific analysis, code review, independent cross-checking, and technical workflow evaluation.

Conducted doctoral research in computational sensing, quartz-enhanced photoacoustic spectroscopy, aerosol and gas detection, data-driven physical systems, and sensor validation. Developed coupled acoustic, thermal, structural, and transport models using COMSOL Multiphysics, alongside Julia and Python workflows for numerical analysis, parameter studies, data processing, and experimental comparison.

Investigated multi-sensor networks and data-driven control methods for industrial and building environments, including reinforcement-learning approaches to energy-efficient HVAC operation. Collaborated with building managers and Technical University of Berlin partners on sensor deployment, calibration, placement, data interpretation, and real-world experimental validation.

Founded the company as RecoGlass and led its evolution into OCTR Technologies, a physics-informed building intelligence and energy-optimisation venture. Lead technical architecture and product strategy for AI-enabled building energy optimisation, sensor analytics, and autonomous HVAC control.

Build and evaluate whole-building energy models using DesignBuilder and EnergyPlus, supported by Python workflows for calibration, data preparation, scenario analysis, and performance assessment. Designed deployable analytics pipelines integrating building automation systems, environmental sensors, enterprise dashboards, and reinforcement-learning control. Secured commercialisation funding and delivered proof-of-concept work with LG.

Modelled Peltier-based thermal systems in MATLAB and Simulink for precise temperature regulation in cell-culture incubation applications. Evaluated transient heat transfer, control response, component behaviour, and engineering trade-offs for biomedical systems requiring fine temperature stability.

Investigated gold nanomaterial and droplet-generation processes through microfluidic simulation using OpenFOAM and experimental materials-processing work. Performed fluid-dynamics simulations for low-energy leaf-blower concepts using SimScale and Simscape, contributing across modelling, mechanical design, electronics, experimentation, and technical communication.

Modelled biodegradable biomaterials for bone-fracture implants using ANSYS and Abaqus. Supported experimental validation through specimen preparation, mechanical load testing, and 3D strain analysis, comparing numerical predictions against measured material and structural response.

Conducted CFD research on UAV airfoils using STAR-CCM+ and SolidWorks. Developed geometries and computational domains, evaluated pressure and velocity fields, lift, drag, and flow-separation behaviour, and supported aerodynamic design assessment.

Investigated combustion noise using particle image velocimetry, qualitative light-sheet diagnostics, acoustic measurements, and advanced signal-processing methods. Applied Multifractal Detrended Fluctuation Analysis and spectral techniques to non-stationary physical signals.

Co-authored peer-reviewed research presented at ASME Turbo Expo 2017 on the fractal characteristics of combustion noise.

Contributed to computational physics research involving gravitational, astrophysical, and particle-transport simulations. Used GADGET for gravitational and N-body modelling and GEANT3 and GEANT4 for particle-interaction and transport simulations.

Supported simulation execution, output analysis, model assessment, and physical interpretation across research-led computational tasks.

Directed scientific strategy and research and development across catalytic plastic depolymerisation, carbon-dioxide-to-glass capture, energy systems, and PFAS-free surface treatments.

Designed experimental protocols, validation frameworks, research strategies, and academic and industrial collaboration plans.

Research focused on quartz-enhanced photoacoustic spectroscopy, aerosol and gas sensing, computational multiphysics, sensor systems, signal analysis, and data-driven control.

Graduated as top student across the cohort with an average above 84% over three years. Sir William Mather Scholar.