I am a product developer specializing in the AECO industry, with expertise in graph analysis, web development, and educational solutions



Taking care of Spot® the dog, for the Open house event in 2024
In my field, academic and professional experiences are closely connected, shaping the key milestones of my career
Here's a list of key technologies I regularly use in my projects. Some are tailored to specific industries, click them to visit their official website.
Some common questions that I keep getting asked
If you have more questions, don't hesitate to message me and I'll get back soon


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.

Improved my knowledge about the architecture and construction industry by undertaking the course provide by RIBA North West, a part 3 replacement

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


Completed the BA Hons Architecture course at the University of Greenwich, gaining a comprehensive understanding of architectural design, history, theory, and practice.

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.


