About
Ivan is a skilled QA Engineer with expertise in Python, Git, and Azure DevOps. He is proficient in using tools such as Postman, SQL, XML, JSON, Jenkins, PWM Pro. Ivan possesses deep understanding of the software development life cycle and methodologies, including Waterfall, Scrum, XP. His knowledge extends to QC and QA work processes, testing theory, test design techniques, comprehensive QA documentation, test cases, checklists, and QA reports.
Top skills
Verified by Pangea.ai due diligence
| Top Skills | Current Usage | Seniority |
|---|---|---|
Selenium | 40% | 6 years |
Jenkins | 40% | 6 years |
Python | 10% | 3 years |
MySQL | 5% | 4 years |
SQLite | 5% | 4 years |
All skills
Roles and tools, to bring ideas to life and create meaningful experiences
Professional experience
Explore a curated selection of projects highlighting Ivan L.'s expertise and experience. Each project aims to showcase challenges, solutions, and the final outcome, along with the tools and technologies used.
Preferred tools
View the preferred tools and apps used by Ivan L. to assess compatibility and alignment.
Career highlights
Discover Ivan L.’s professional journey, including employment history, certifications, and educational background.
Testimonials
Vadym V.
Lenovo
“Ivan is an enthusiastic, dedicated QA, and a valuable member of our Lenovo team. Despite being the only QA for 10+ developers across multiple streams, he remains well-oriented in the platform, proactive in support, and responsible in testing. Ivan is always present at key meetings, and quick to act when problems arise. He has built strong working relationships with developers, and he can independently follow up on issues with stakeholders. Though the intensity of his workload doesn’t leave much time to improve and organize the overall QA process (like proper bug triage, bug reports, test cases creation and updates, or regular regression testing), Ivan definitely has the right mindset for it. I’d suggest he puts some focus on building his presentation skills and looking into automation to help make his work more efficient and scalable.“