Image patch classification
I developed a random forest based model for classify patches from image data.
About Me
Senior Machine Learning Engineer with 5+ years experience completing several machine learning projects in the areas of Computer Vision, NLP, Speech Recognition, 3D Medical Imaging, Predictive Analytics, Conversational AI (Chatbots), and Data Visualization. - Led teams of data scientist and machine learning engineers. - Designed and integrated machine learning solutions into web applications services. - Implemented machine learning systems following standard software development lifecycle (dev, staging, and production environments) - Maintained and tracked machine learning projects using issue tracking and software versioning tools such as JIRA, GIthub Detailed experience: - Developing statistical machine learning models - NLP and NLU - Deep Learning - Computer vision - Speech Recognition - Data analytics and Visualisation - Dash (Plotly) - Exposing and consuming RESTful API Skills: - Programming: Python - Tools: R, Matlab - Frameworks: TensorFlow, Keras, Pytorch, Apache Spark - Libraries: Scikit-Learn, Numpy, Pandas, NLTK, CNTK, Matplotlib, Dash (Plotly), SciPy - Databases: MySQL, PostgreSQL, NoSQL, BigQuery, Redis - Version control and Issue Tracking: GIT, JIRA Others: - AWS - Google Cloud Platform - Apache, Nginx, Gunicorn - Web scraping
