About Me
I am a dedicated software engineer with expertise in artificial intelligence, machine learning, and computer vision. My work focuses on creating impactful solutions that leverage advanced technologies to address real-world challenges. I am passionate about building efficient, scalable systems and continually learning to push the boundaries of innovation in AI.
Skills
Programming Languages
- Python
- C++
- CUDA C++
Core AI and ML Libraries
- PyTorch
- TensorFlow
- Keras
- Hugging Face
- Scikit-learn
- OpenCV
- NumPy
- Pandas
Cloud Platforms
- Google Cloud
- AWS
- Microsoft Azure
Data Engineering
- Apache Kafka
- Apache Airflow
- Spark
- Hadoop
DevOps & Deployment
- Docker
- Kubernetes
Machine Learning & Computer Vision
- CNNs
- Object Detection
- Semantic Segmentation
- Transfer Learning
- Data Augmentation
Web Development
- Flask
- Django
- HTML5
- CSS3
- JavaScript
Languages
- English
- Shona
- Mandarin
Highlighted Projects
3D-CNN for Micro-Expression Recognition
Implemented a 3D convolutional neural network for micro-expression recognition, enabling accurate analysis of subtle facial expressions over time.
View ProjectDeep Learning Concepts in C++, CUDA, and Python
Developed foundational implementations of deep learning algorithms using C++, CUDA, and Python to explore performance optimization and cross-language integration.
View Projectpycuda_plus: Simplified CUDA Programming Library
PyCUDA Plus is a Python library that enhances PyCUDA by providing high-level abstractions for compiling and launching CUDA kernels, managing memory between host and device, and automating grid and block size calculations. These features simplify GPU programming, improving code readability and reducing setup time for developers working with GPU-accelerated workflows.
View Project