My PROFESSIONAL Experience

In this project, I learnt how to use Power BI and data visualize.

I self-studied online to build and deploy this portfolio, which significantly enhanced my resume and showcased my skills. For this project, I utilized Next.js, a powerful React framework, to create a modern and responsive website. This experience not only improved my proficiency in web development but also introduced me to advanced concepts such as server-side rendering, static site generation, and API routes. Through this project, I gained hands-on experience in crafting dynamic web applications and learned to tackle real-world challenges, deepening my passion for this exciting field of technology.

In this project, we developed an application capable of loading and optimizing 3D models. The application reduces the vertex count while preserving the model's shape and allows for model segmentation through integration techniques. We initially worked with a C# framework but leveraged a convex hull algorithm available in Python for model optimization. By integrating these tools using language wrapping, we successfully minimized unnecessary points and maintained the integrity of the 3D structures.

This project focused on optimizing a deep learning model for a reinforcement learning task. We started with an existing structure sourced from the web and made significant modifications to better suit our goals. Our primary objective was to identify the optimal parameters for the model, including learning rate, epsilon, batch size, image resolution, and optimization algorithms. Through extensive testing and fine-tuning, we achieved a final result where the agent was able to fly autonomously for more than ten minutes, demonstrating the effectiveness of our parameter optimization.

This project involved developing a website for managing and checking appointments with General Practitioners (GPs). My primary responsibilities included writing efficient database queries to retrieve the necessary appointment information and implementing backend functionality using Python. I ensured that the queries returned accurate and expected results, and I integrated them seamlessly into the backend system, enabling reliable and smooth appointment management on the platform.

In this project, I developed an FPS game using Unreal Engine 5. I began by sourcing map layout designs online and constructing the game environment based on these designs. I also imported 3D models from various sources, customizing them in Blender to fit the game's aesthetic. Additionally, I used Unreal Engine's Blueprints system to implement game events, interaction logic, and material effects, ensuring a dynamic and immersive gameplay experience.

This project was part of the Berrijam Jam competition, where our goal was to design and develop a core model based on a provided framework. My responsibilities included contributing to feature extraction, implementing machine learning methods, and handling the complete function development. The final code was praised for being well-organized and thoroughly commented, reflecting the high quality of our work.

I self-studied blender online, and used three-viewdrawing to modeled a ford truck.