Tamara Shostak

About

Machine-learning security engineer and team lead with 7 years of experience in web and API security, building detection systems behind a platform filtering 50B+ requests per month. Experienced in real-time ML anomaly detection, LLM and RAG-based security products, and owning systems end to end from detection research to data platform and team delivery.

Experience

• ML Security Team Lead & Scrum Master
  Link11 Group (formerly Reblaze Technologies) · Tel Aviv
  2022 – Sep 2026

  Led the AI security research team, taking LLM-based security products from concept to production release. Architected enterprise LLM-based security products, including RAG-based retrieval architectures, and the API protection platform serving 50B+ requests per month. Developed ML anomaly detection models identifying malicious traffic patterns in real time. Built an ML false-positive detection model that measurably raised SOC analyst throughput. Conducted security research across WAF, bot detection and IP reputation systems. Architected a security recommendation engine surfacing policy fixes to customers. Designed BigQuery and data-lake infrastructure processing petabytes weekly; query and storage optimisation cut infrastructure cost by $240K annually. Automated a multi-cloud (AWS / GCP / Azure) billing pipeline, giving engineering and finance per-service cost visibility. Scrum Master for the research team — sprint planning, delivery cadence, cross-team dependencies — and led it fully remotely from Abu Dhabi for two years across time zones.

• Data Scientist
  Link11 Group (formerly Reblaze Technologies)
  2019 – 2022

  Built a security analytics platform unifying AWS, Azure and GCP telemetry into a single queryable layer. Engineered an adaptive rate-limiting system that reduced API abuse by 94%. Implemented automated response and vulnerability-management workflows.

• Manager, Client Analytics
  Optimax
  2017 – 2018

  Owned client databases and analytics reporting for international transaction flows.

• R&D Engineer & Researcher
  Neteera / Hebrew University of Jerusalem
  2014 – 2016

  Developed contactless sensing technology; conducted dielectric spectroscopy research. Implemented statistical analysis and image-processing algorithms in MATLAB.

Education

• 2024 NS
  M.Sc.

  Novosibirsk State Pedagogical University

  Inclusive Education · 2021 – 2024

  Inclusive Education · 2021 – 2024
• 2017 TA
  M.Sc.

  Tel Aviv University

  Electrical Engineering · 2016 – 2017

  Electrical Engineering · 2016 – 2017
• 2014 NS
  B.Sc.

  Novosibirsk State University

  Nanotechnology & Radio Engineering · 2010 – 2014

  Nanotechnology & Radio Engineering · 2010 – 2014

Skills

Tools / apps / platforms

Languages

Courses & certifications

• Machine Learning · Stanford University
• Kubernetes Workshop
• Google Cloud / BigQuery