Machine learning infrastructure engineer

* Machine learning models development and implementation for thermographic images processing focused on breast and thyroid cancer early detection based on artificial vision and computational techniques.
* Data analysis (Jupyter notebooks).
* Automate testing workflows and pipelines for model validation and software consistency.
* Data pipeline construction for data processing to guide products development and strategic decisions. 
* Writing relevant contributions to scientific papers of the company for internal documentation or scientific journals reviews.
* CI/CD and automate testing approaches for software quality assurance and machine learning model review with GitLab/GitHub and AWS infrastructure integration.
* Tool development to help health and medical personnel on clinical evaluation of thermographies.
* C/C++, Python, Typescript and Matlab for image processing task and OpenCV and MXNet frameworks usage.
* Mobile applications and web-based tools development for end-user’s manipulation.

* Global Data Science group in Neoris.
* Clients/Projects and roles:
    + Phoenix Insurance Group, Israel - Technical leader role. Cloud and EDWH vendors selection for data lake formation and data migration planning from DWH on-premises infrastructure.
    + Scotts-MiracleGro, USA - Graph and data engineer role. Focused on data lake formation and data migration from Azure/SAP environments to AWS services creating ETL processes with Apache Airflow.

* Field: Natural Language Processing.
* Research subject: Data Science for opinion mining and sentiment analysis on trends determination and qualification to forecasting purposes.
* Approach: Data science and Machine Learning usage on data extraction by natural language parsing of tweet texts (incorporating pictographs evaluation) and Deep Learning tools (Tensorflow). Time series analysis and processing.

* Field: Artificial Intelligence.
* Research: Associative memories based on artificial neural networks models.
* Awards: Academic performance. Honourable Mention graduate.
* Approach: An early Machine Learning approach on information pattern recognition by neural networks implementation.