Sarah Lechtser

Sarah Lechtser

I've just started an M.Sc. at the Weizmann Institute of Science. Science has always been my driving force, especially understanding complex systems and turning that understanding into real-world impact. I bring together physics, software engineering and data science to approach problems from several angles.

  1. Oct 2026 – now
    M.Sc. in Life SciencesWeizmann Institute of Science

    Research master's, just getting started.

    Weizmann Institute campus
    Rehovot
  2. Jul 2023 – now
    Director of Research DevelopmentFijoya · founding team
    • Dec 2025 – nowDirector of Research Development
    • Jun 2024 – Dec 2025Team Lead, founding team
    • Jul 2023 – Jun 2024Software Engineer, founding team
    • Led and developed Fijoya's core AI, data and payment infrastructure, including large-scale systems for wellness and healthcare.
    • Architected production AI: a personalized recommendation engine, web crawlers for health and wellness content, and conversational AI systems.
    • Led cross-functional teams through complete AI-enhanced mobile and web apps, from backend to data infrastructure.
    • Owned technical leadership and cross-team coordination, balancing innovation with sustainable engineering.
    Health techFintech
  3. 2022 – 2023
    Data Engineer DeveloperBitSight
    • Built data ingestion pipelines and analytical frameworks for large-scale network behavior and security data.
    • Designed orchestrated workflows with Apache Airflow and CI/CD with Docker, Kubernetes and CircleCI.
    • Built cloud infrastructure on AWS (S3, IAM, ECR) with Terraform for scalable data operations.
    Cybersecurity
  4. 2022
    Teaching AssistantTechnion – Israel Institute of Technology

    Teaching staff in the undergraduate Electricity and Magnetism course, helping students with the foundations of electromagnetism.

  5. 2019 – 2022
    B.Sc. in PhysicsTechnion – Israel Institute of Technology
    Dean's List, 4 semestersTop 5 in class
    SLM
    Optical tweezers for quantum simulationDeveloped SLM-based optical trapping systems for ultracold Fermi gas experiments.
    Catalyst surface modelingSpatially-resolved kinetic Monte Carlo of catalyst surface dynamics, with Prof. Charlotte Vogt. Code
    χ ψOψ*
    Tensor network algorithmsExplored the efficiency of tensor network algorithms for quantum computing.
  6. 2017 – 2019
    Cybersecurity Researcher & Detection EngineerMamram Unit, IDF
    • Developed PySpark machine-learning models for anomaly detection in high-volume network data, with metrics for temporal patterns and suspicious relationships.
    • Investigated incidents using Neo4j graph analysis, Splunk log correlation and Elasticsearch threat hunting.
    • Built C++ and Python tools for behavioral analysis and signal processing of incident patterns.
    • Led research projects on attacker behavior and honeypot systems.
    Best Technological Project, IDF Communication Force 2018
  7. 2015 – 2017
    Red Team Penetration TesterMamram Unit, IDF
    • Ran simulation-based vulnerability assessments of systems and human-in-the-loop processes.
    • Designed and executed custom attack vectors to test security posture and incident response.

    Training, 2015 – 2019: Cyber Defender Course (1,120 hours, IDF), Expert Red Team Hacking and C Defense and Attack (John Bryce College), C++ Programming (HackerU), PySpark for Data Analysis (Matzov Unit, IDF).

Volunteering