Lioz Akirav

Software Engineer

Software Engineer passionate about full-stack development, data analysis, and cybersecurity

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About Me

Profile

I'm a Software Engineer focused on building efficient and secure web applications. Currently working on data collection and analysis platforms at Ariel University, with experience in managing large-scale databases and implementing automated testing pipelines. I'm particularly interested in the intersection of data analysis and cybersecurity, having previously worked with the world's largest open-source vulnerabilities database at Mend.

Technical Skills

Languages

  • Python
  • JavaScript
  • TypeScript
  • Java
  • C++

Frameworks

  • React
  • Flask
  • FastAPI
  • Django
  • Express.js
  • pytest

Tools

  • Git
  • Docker
  • AWS
  • PostgreSQL
  • MySQL
  • MongoDB
  • Redis

Focus Areas

  • Data Analysis & Visualization
  • Cybersecurity
  • Database Design
  • Test Automation
  • CI/CD Pipeline

Experience

Software Engineer

Ariel University | 2024-Present

  • Architected and implemented a full-stack data collection platform serving 1000+ users
  • Developed data analysis pipelines using Python ecosystem (pandas, numpy, matplotlib) for automated report generation and visualizations
  • Designed robust RESTful APIs with comprehensive test coverage, including unit, integration, and load testing using pytest and Locust
  • Built a scalable MySQL database system with multilingual support for budget allocation surveys

Research Analyst

Mend | 2022-2023

  • Led data analysis initiatives utilizing MySQL and MongoDB for the world's largest open source vulnerabilities database
  • Developed Python automation scripts that significantly reduced manual data processing time
  • Designed and implemented comprehensive testing suites using Python/Pytest, improving product reliability
  • Collaborated in an Agile environment to deliver research outcomes and improve product performance

Featured Projects

Budget Survey System

Architected and implemented a full-stack data collection platform serving 1000+ users. The system features automated data analysis pipelines, comprehensive test coverage, and multilingual support.

  • Built scalable MySQL database with multilingual capabilities
  • Implemented automated report generation and data visualization
  • Achieved robust test coverage with pytest and Locust
Python Flask MySQL pytest
View Project

Equal Shares Voting System

Developed a production voting system with FastAPI and React, implementing complex allocation algorithms for fair resource distribution. Features comprehensive testing and modern development practices.

  • Built RESTful API with FastAPI for algorithmic budget allocation
  • Implemented secure authentication and user management
  • Deployed using Docker with complete CI/CD pipeline
FastAPI React PostgreSQL Docker
View Project

Malware Detection System

Implemented innovative genetic algorithms for polymorphic malware detection based on dependency graph analysis and maximum subgraph isomorphism, following research by Kim and Moon.

Python Graph Analysis Research Security
View Project

Get in Touch

I'm always interested in connecting with fellow developers and exploring exciting projects. Whether you have a collaboration idea or just want to say hi, feel free to reach out!