Leading the development of a scalable serverless application on AWS GovCloud.Designing and developing an AI/NLP system to streamline the FDA submission process, enhancing premarket review, approval, surveillance, and recall procedures.Managing a 10-person full-stack engineering department. Overseeing the PDF Ingestion processing pipeline, including layout analysis,table structure recognition, and OCR.

- Currently work as a ML Engineer at SAIVA AI, developing healthcare insights over Electronic Health Records (EHR) data for patients at Skilled Nursing Facilities (SNFs). ML solutions include gradient boosting models over the featurized EHR information, leading to early detection of: - unplanned hospitalization transfers - patient falls - patient wounds.

- Worked as a Lead ML Engineer at Rekor Systems, developing Computer Vision / AIsolutions based on our roadway video data.- Responsible authority for all ML-based software solutions- Management of a team of three Machine Learning Engineers and Data Scientists.- Responsibilities include the entire ML project lifecycle, including data collection & annotation, AIalgorithm R&D, agent backend development, through deployment, monitoring, and customersupport.- Research projects include (but are not limited to):o Improvement of our core OCR-based Automated License Plate Reading (ALPR) throughdata, modeling, and optimization dynamic improvements.o Multitask & Multiclass model for predicting vehicle attributes from images (make, model,body type, color, orientation, and model-year)o Improvements of our edge detection algorithm (for cropping vehicles and license plates)o Object tracking in video for roadway analytics.

- Worked as Machine Learning Engineer at Elminda Ltd’s Deep Learning team. Elminda is ahealthcare start up involved in brain health and provide health-related insights to facilitate treatmentof a wide variety of brain disorders, based on big-data analytics leveraging patient Event RelatedPotential (ERP) EEG signals.- Designed and implemented Machine Learning solutions for a variety of projects such as detection ofdepression and assessment of memory loss in seniors.- The responsibility included ownership across the data science process, from querying unstructuredsignals, through preprocessing, analysis, modelling, and deployment.- Spearheaded the product’s statistical validation through its 510(k) submission to the FDA.

- Worked as a Data Scientist at HERE Technologies’ Mobility division, involved with Smart Mobility,on projects such as:- Identifying personal points of interest via trajectory clusters in mobile sensor data. Demand predictormodel for transportation service providers.- Detection of gatherings / joint movement events via GPS & mobile IMU sensor data.- 9 approved patents, relating to innovations in dynamic location services sampling rates anddetection of group motion utilizing mobile sensors.

- Worked as a Data Scientist in Aol’s Research division in Tel Aviv, mostly involved with ComputerVision tasks.Notable research projects include:- Automatic video scene segmentation and key frame extraction – Aol Video Shortener. Celebrityfacial recognition system (Deep Convolutional Neural Network).- Video thumbnail optimization - Image aesthetic analysis via multiclass SVM.

I was a senior academic officer in the Israeli Defense Forces with a military rank of Captain in Unit 8200. My job involves the fields of Statistics, Operations Research, Algorithms, and military leadership.Statistician, operations research officer, and head of the research and algorithm team in the division.Professional mentor and direct commander of three soldiers. Served as a knowledge base in research methods for the division.Developed a hybrid Network Intrusion Detection System via a mix of supervised classification andunsupervised anomaly detection to detect known and novel threats.Developed a classification model for protocol tunneling.