Test new technology features: I would test them by first building an understanding of the requirements, and the expected results, then having a clear test plan which will include functional, performance, and security tests. I will conduct both manual and automation testing where possible, write reports, analyze problematic areas, and give feedback to make sure that by the time the feature is deployed, it is stable, convenient to use, and suits business purposes.

I have experience working with AI tools through projects such as building a deep learning image captioning model using PyTorch and the Flickr8k dataset, where I combined CNNs for feature extraction with LSTMs for sequence modeling and evaluated performance using BLEU scores. I have also applied AI techniques in predictive analytics and business resilience, as well as data preprocessing, classification, clustering, NLP, and visualization using Python libraries like Pandas, NumPy, Scikit-learn, and Matplotlib.