About Me
I'm an undergraduate student studying Applied Artificial Intelligence, focusing on developing practical AI solutions for real-world problems.
Education
Bachelor's in Applied Artificial Intelligence
Expected Graduation: 2025
Research Interests
My research focuses on machine learning algorithms, natural language processing, and computer vision applications. I'm particularly interested in how AI can be applied to solve problems in healthcare, sustainability, and education.
Goals
I aim to bridge the gap between theoretical AI research and practical applications, developing solutions that make a positive impact on society.
My Projects
A showcase of my work in artificial intelligence, machine learning and software engineering.
Worked in a team of 4, developing a top-down rogue-like game using Unity and C#. My role involved creating the game mechanics, including player abilities, enemy AI and enemy attacking patterns.
Developed the car showcase for the Hololens 2 during my internship at HelloHolo. This project involved creating a 3D car showcase using Unity and C#, allowing users to interact with the car model in mixed reality.
Worked on Multiple features, interactables and UIUX for the users. Worked with artists to import and display everything as intended. This was also during my internship at HelloHolo.
School project, where i was responsible for all the car physics, which included: velocity, acceleration, friction, braking and weather effects.
Collaborated on a multilingual video translation system using Whisper (ASR), GPY-4o mini (Transcription refinement / translation) and Google TTS for educational content
Collaborated on a project that involved webscraping data from a famous shoe website, to display all shoe data and provide sentimental analysis on the reviews. This is to optimize sales to keep in stock shoes with positive reviews.
Skills & Technologies
The tools and technologies I leverage to bring AI projects to life.
- TensorFlow & Keras
- PyTorch
- Scikit-learn
- Neural Networks (CNNs, RNNs)
- Deep Learning Concepts
- Model Evaluation & Tuning
- Python (Proficient)
- R
- JavaScript
- SQL
- C#
- Version Control (Git)
- Pandas & NumPy
- Data Cleaning & Preprocessing
- Data Visualization (Matplotlib, Seaborn)
- Statistical Analysis
- Natural Language Processing (NLP)
- Computer Vision (CV)
- Generative AI (Basics)
- Time Series Analysis
- GitHub
- Jupyter Notebooks / Google Colab
- VS Code
- Unity
- Vercel
- Problem Solving
- Collaboration
- Communication
- Research & Analysis
- Continuous Learning
Get In Touch
Interested in collaborating or have questions about my work? Feel free to reach out!