Creathlon
A dynamic platform for architectural design competitions, connecting architects and developers to enhance their skills, showcase creativity, and engage in collaborative projects
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Some of my more complex projects
Focused development in mathematical and computational foundations, accelerated computing, and technical decision-making for complex, product-driven systems.
Focused development in mathematical and computational foundations, accelerated computing, and technical decision-making for complex, product-driven systems.
In my field, academic and professional experiences are closely connected, shaping the key milestones of my career
Analysis and reflection on geometry, systems design, and web-based computational tools, informed by practice, research, and technical discourse
Contributed to delivery and coordination across residential and commercial projects, while leading early digital process improvements within a regulated architectural practice.
Completed the BA Hons Architecture course at the University of Greenwich, gaining a comprehensive understanding of architectural design, history, theory, and practice.
Produced and taught the master's-level "Design Systems with Grasshopper" module, simplifying complex concepts in computation and visual programming with Grasshopper, Rhino API and Python to a yearly cohort of 16 students
Assisted RC5 (MArch) with tutorials in computation methods applied to Architecture
Regulated professional training in contracts, procurement, ethics, and practice governance.
Gained hands-on experience in accelerating C/C++ applications using CUDA for GPU execution. Learned to write GPU-executable code, optimize memory migration between CPU and GPU, and use profilers to improve performance. Gained expertise in utilizing parallelism with concurrent streams and refactoring CPU-only applications for significant performance gains.
Gained hands-on experience in accelerating C/C++ applications using CUDA for GPU execution. Learned to write GPU-executable code, optimize memory migration between CPU and GPU, and use profilers to improve performance. Gained expertise in utilizing parallelism with concurrent streams and refactoring CPU-only applications for significant performance gains.
Those who earn the Google Data Analytics Certificate, developed by Google, have demonstrated their competence in foundational data analysis. Through hands-on activities and assessments, graduates develop proficiency in preparing, processing, analyzing, and sharing data using tools and platforms including spreadsheets, SQL, Tableau, and R, preparing them for introductory-level roles in data analytics.
