Senior Data Scientist, Data Science Facilitator, and Independent Researcher
A data scientist, AI engineer, programmer, and data enthusiast. All at once.
Interests: Artificial Intelligence, Machine Learning/Deep Learning, Data Science, Data Visualization, Computer Vision, Digital Signal Processing, Speech Processing, Natural Language Processing
In-progress project: developing AI chat app for hospital group info, utilizing Language Model (LLM) tech, exploring LLM chaining, agent-based methods, and prompt engineering for accuracy.
Artificial Intelligence Machine Learning Deep Learning Large Language Model Natural Language Processing Python SQL PyTorch Langchain Scikit-Learn Matplotlib
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Reproduced FrameExit paper's SOTA results in video recognition using HVU dataset, overcoming challenges with existing models, achieving 49.28% mAP.
Artificial Intelligence Machine Learning Deep Learning Object Detection Multi-label classification Computer Vision Python PyTorch OpenCV Scikit-Learn Matplotlib Scipy
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Developed AI system to detect LED defects on PCBs, adapting model to generate oriented bounding boxes for tilted LEDs. Established baseline and improved it.
Artificial Intelligence Machine Learning Deep Learning Oriented Object Detection Computer Vision Python PyTorch OpenCV Scikit-Learn Matplotlib Scipy
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Replicated SOTA paper on PCB defect classification, augmented dataset, fine-tuned models, enhancing results. Detailed results available in portfolio.
Artificial Intelligence Machine Learning Deep Learning Image Classification Image Augmentation Computer Vision Python PyTorch OpenCV Scikit-Learn Matplotlib Scipy
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