Livin Natious

- Research on methods for identifying malicious user activities using deep neural model in the context of the DiSIEM Project. - Language models for malicious user detection (using LSTM, CNN...). - Data engineering using ELK stack(Elasticsearch, Logstash, and Kibana). - Model implementation using deep learning libraries; Keras, PyTorch.

- Worked as a tutor for Technical neural network course. - Teach concepts of neural network paradigms (MLP, RBF, CNN, SVM...). - Evaluate programming and written assignments.

- Adding new features and maintenance of PHP, JS website. (pro-report.org) - Creating Rest APIs for querying and populating data from database. - Front-end development, HTML/CSS.

- Worked in an agile big data project (hadoop ecosystem). - Big data project dealing with user profiling. - Data aggregation using user logs generated from multiple apps(client apps).

Operating systems, database, compilers, engineering mathematics