Paul BurgheleaProduct developer

• Managed 3 to 7 cross-functional teams, delivering web applications and geometry automation pipelines for critical high-stress projects, managing resources, resolving conflicts, and ensuring timely, high-quality delivery.
• Translated complex technical concepts into actionable insights for non-technical stakeholders and cross functional teams, through group presentations, workshops, meetings and reports, fostering engagement, and increasing the department's revenue due to increased commissions.
• CI/CD With azure, Azure, cross functional, SQL, Node js, Neon, Temporal, Agile, cross-functionally, .NET, Python

• Developed full stack RAG web application with Typescript, Tailwind CSS, C++, NextJS, Temporal, Azure, DevOps, RESTful API and Azure and relevant Figma design iterations, distributing the applications office wide to 2000 users
• Developed Digital Twin viewer MVP web application, using HTML, CSS, Javascript, React, Web RTC, pixel streaming complex BIM geometry from Unreal Engine into client browsers
• Designed and implemented geometry processing workflows for projects and R&D initiatives alike, advancing interoperability and automation across platforms using C# (.NET), RevitAPI, RhinoAPI

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

• Merged my software development skills with architectural design thinking to produce innovative computational work.
• Developed software utilizing social network analysis, sentiment analysis, web scraping, and statistical analysis to test architectural concepts and enhance my design and computational abilities.
• Actualized concepts into a tridimensional architectural concept using a self-programmed flocking simulation Grasshopper Plugin.

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

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

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.

• Developed and deployed high-quality full-stack CRUD applications using Electron, React, SQL and Docker in a fast-paced environment, ensuring timely delivery and robust functionality
• Produced efficient data collection and cleaning processes, handling an average of 150,000 entries per project using Selenium, Pandas, and Python, ensuring high-quality data for analysis
• Developed multiple geometry production pipelines using Grasshopper and Rhinoceros, reducing revision time and significantly streamlining the design process for rendering clients

• Improved the company's digital infrastructure for legal documentation and the website using HTML, CSS, JavaScript, and Batch scripting, adapting quickly to feedback and evolving requirements.
• Involved in a diverse range of projects, from residential new builds to listed building renovations in various stages of development. Responsibilities included reviewing and redlining agreements for lease legal documentation, working on commercial projects in stages 1-4, and assisting with stage 3 listed building planning applications and stage 4 tender packs.

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.