• Create end-to-end ML-based bot detection model, from data analysis to deployment in production.• Developed a comprehensive bot’s kit, for robust ML model evaluation.• Served as a key member in the creation of the risk detection predictors.• Led POCs with customers (from day one to closing) and by doing so improved predictors detection.• Acted as a mentor for new team members and lead them to be a valuable member in the team.

Phishing Detection: • Design and developed an ML-based phishing URL detection model, delivered to the Deutsche Telekom CertStream team.• Compare the suggested model against state-of-the-art methods using various public datasets/ “real world” data.• Evaluate the model within a “real world” environment to point out the differences between the public datasets and the “real world”.Radar Security:• Perform security analysis to the radar system to detect existing cyber security risks.• Implement a MiTM attack on the radar networking data to prove risks feasibility.• Designed and developed an ML-based anomaly detection algorithm (in an unsupervised manner) for the radar data stream.Engine Security: • Investigation of the voltage signal behavior in order to detect faults/cyber-attacks.

• Enhanced product offerings and service quality with the addition of various features to Celleno Wireless driver, such as Plume and Wireless Events.• Implemented code to existing bash scripts.• Ported for WRS and hostapd from one platform to additional platforms.• Served as a key contributor in various chip certification processes. • Remained committed to objectives and tasks through extensive preparation, punctuality, and outstanding attendance record.• Optimized operations by adhering to quality standards, facilitating decreased errors, and maintaining a safe working environment.

• Created a fully testing environment for HW arbitration and fan controller (stubs, watchers, and verifiers). • Identified implementation bugs according to system specification; recommended fixes to the block designer.