KosterTech
I transform complex ideas into robust systems and intuitive interfaces. Combining Computer Science and AI to build the next level of software, while expanding into OpenUSD and Digital Twins.
Scalable back-end architectures using Python and Java for robust, high-performance, and secure systems.
Responsive interfaces using HTML, CSS, and JavaScript for clean, consistent, reliable performance.
Integrating machine learning models and neural networks into applications to provide automated insights and intelligent experiences.
3D scene composition with OpenUSD and scientific data visualization in NVIDIA Omniverse and Kit-CAE, using color mapping, pressure and velocity fields, and volume rendering.
17-year-old Computer Science student, focused on Full Stack development. I also dedicate my studies to Artificial Intelligence and other areas, always seeking the next technical level.
Driven by curiosity and the joy of creating, I seek projects where I can transform ideas into code and generate real impact. Alongside Full Stack and AI, I am interested in working with Digital Twins and intelligent 3D environments.
Understand the problem and define the goals
Build solutions with code, AI and 3D
Test, validate results and refine the solution
Completed workshops focused on practical technology learning, project development, and continuous improvement.
AI-powered customer service chatbot for a fictional fashion e-commerce store, built with Python, Flet, Groq AI, and a local JSON catalog. It supports Portuguese and English conversations, product search, predefined store answers, quantity handling, and shipping calculation through ZIP/postal code lookup with ViaCEP. For real-world use, a professional database and production logistics integrations are recommended.
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Industrial 3D scene composition project developed during NVIDIA DLI's OpenUSD fundamentals course. It explores modular asset organization with USD, USDA, and USDC files, using Stages, Prims, Layers, References, Payloads, Variants, materials, and assemblies to build reusable, non-destructive workflows for NVIDIA Omniverse and Digital Twins.
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Scientific visualization project focused on automotive aerodynamics with NVIDIA Kit-CAE. CFD datasets were imported into OpenUSD and explored through streamlines, pressure and velocity fields, planar slices, volumes, color mapping, voxelization, and animated flow inside NVIDIA Omniverse.
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