Experience

Canonic Security (Acquired by Zscaler)

• Computer and Network Security
• 1 - 100 Employee

• Senior Software Engineer

  • Mar 2021 - Present

  Canonic Security was acquired by Zscaler in February 2023. ► As a third developer in an early-stage startup, I played a pivotal role in designing, building and maintaining the company's data pipelines and backend. - Tech Stack: Spark, DeltaLake Python, Java, AWS, Postgres Canonic Security was acquired by Zscaler in February 2023. ► As a third developer in an early-stage startup, I played a pivotal role in designing, building and maintaining the company's data pipelines and backend. - Tech Stack: Spark, DeltaLake Python, Java, AWS, Postgres



PerimeterX (now HUMAN)

• United States
• Computer and Network Security
• 1 - 100 Employee

• Data Engineer

  • Feb 2019 - Mar 2021

  ► Implement services that are in charge of PX data export of logs and metrics to various third party under real-time and scale challenges. ► Working on the infrastructure required for optimal extraction, transformation, delivery and loading data from and to a wide variety of data sources used by the organisation ► Developing and maintaining PX data pipeline and data integrations ► In charge of integrating PX solutions into GCP Marketplace, Google’s Cloud Security Command Center and Azure Marketplace. ► Designing and implementing a tool to produce insights that are used to understand, evaluate and estimate its cost distribution between customers and products. ► Key part in designing and creating the APIs used by engineering teams for various purposes - Tech Stack: Golang, Google Cloud, BigQuery, Kafka, MongoDB, Redis, Ansible, Prometheus, Elasticsearch, Kibana Show less



Innovid

• United States
• Advertising Services
• 300 - 400 Employee

• Data Engineer

  • Dec 2017 - Feb 2019

  Innovid delivers more effective video marketing through the only platform purpose-built for video—reaching more screens and more channels with richly personalized, data-driven creative. ► Taking eminent part In developing Innovid’s VEP - video enrichment pipeline , harnessing Taykey's algorithms, in order to provide more data to video advertisers ► Taking eminent part In developing and optimazing Innovid’s contextual youtube reports, harnessing VEP's data , in order to provide Innovid's clients with PDF report that reflect their YouTube campaign delivery and its contextual insights. - Tech Stack: Java, Guice, Play, AWS(S3, RedShift Aurora), Multi-Threading, Couchbase, MySql, Postgres, Gradle, SBT, Scala, Kubernetes, Docker Show less



Taykey (Acquired by Innovid)

• United States
• Technology, Information and Internet
• 1 - 100 Employee

• Big Data Engineer

  • Apr 2016 - Dec 2017

  Taykey is a real-time audience data company. It analyzes hundreds of millions of conversations per day across social platforms and publishers to understand what specific audiences are talking about, engaging with and sharing. Taykey match audience-based trends with relevant articles and videos and target these placements at scale. Taykey also provide in-depth analysis of real-time and historical trends for a target audience, including data surrounding the most talked about products, people and events and how they change over time. ► Developing Taykey’s real-time Trend-Detection engine and Trend- intelligence platform. I utilized various Big-Data technologies for large-scale batch-processing, stream-processing, and analytics. ► Writing micro-services in Python that use Facebook/Twitter API calls to get public posts and convert them to a standardized data format. ► Taking an imminent part at splitting our legacy pipeline into Articles, Chatter, Trends pipelines. This Included moving building blocks to Scala\spark, and on a later stage to spark streaming , making many optimizations and unifying re-run/real-time pipelines. ►Building, monitoring, testing and going through the project’s entire life-cycle from planning to execution to migration. ► Taking ownership on the Ontology preprocessing and building framework. - Tech Stack: Spark, Spark-Streaming, AWS(S3, RedShift, RDS, EMR, SQS, Athena, Kafka, RabbitMQ, ElasticSearch, Airflow, Docker, Graphite Show less



BioCatch

• Israel
• Computer and Network Security
• 200 - 300 Employee

• ML Algorithm Engineer

  • Sep 2015 - Apr 2016

  BioCatch provides a cognitive biometric solution for mobile and Web applications, available as a cloud-based solution. Focusing on preventing fraud while providing online and mobile users with a frictionless experience, the BioCatch platform develops behavioral biometric profiles of online users to recognize a wide range of human and non-human - malware, remote access Trojans (RATs), robotic activity - cybersecurity threats. ► analyzing large data-sets, performing feature extraction, classifiers development, and performance assessment. ► Working on Random Forests, Adaboost Trees, and SVM for biometric and non-biometric fraud detection (Matlab + Python) Show less