I come with about 11 years of industrial experience working as an CAD engineer and the last 6 years focus on machine learning. The last 3 years major focus on deep neural networks training and modeling.
Beside that, I have experience setting up aws servers for machine learning problems including GPU instances that uses tensorflow. I have the knowledge of distributing the training task over multiple GPUs.
I have experience using the following packages in python and others as well:
- numpy
- pandas
- matplotlib
- bokeh
- holoviews
- seaborn
- statsmodels
- faiss
- spacy
- networkx
- Tensorflow
- Keras
- Xgboost
- Nltk
- Textblob
- Flask
My github profile:
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Main contributions in Kaggle competitions:
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We used xgboost extensively in the above work.
Other AI work:
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Kaggle profile:
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