Tim Visée
About Tim Visée
Tim Visée is a Lead Software Engineer at Qdrant, specializing in systems programming and containerization. He has extensive experience in various programming languages and technologies, with a strong focus on Rust and open-source software.
Work at Qdrant
Tim Visée currently serves as Lead Software Engineer at Qdrant, a position he has held since 2024. Prior to this role, he worked at Qdrant as a Software Engineer from 2023 to 2024. During his time at Qdrant, he contributed to the development of advanced vector similarity search technology, which plays a vital role in supporting next-generation AI applications.
Previous Employment History
Tim Visée has a diverse work history in software engineering. He began his career with an internship at Intermax Cloudsourcing from 2017 to 2018. He then worked as a Software Engineer at Technolution for five months in 2020. In 2021, he briefly worked as an Implementor at Subsea 7. He continued his career at Bitfactory as a Software Engineer for six months in 2022, before returning to Intermax Cloudsourcing as a Software Engineer from 2018 to 2019.
Education and Expertise
Tim Visée studied Computer Software Engineering at De Haagse Hogeschool / The Hague University of Applied Sciences from 2015 to 2022. He also studied Computer Science at the same institution for one year, from 2014 to 2015. His educational background is complemented by expertise in various programming languages and technologies, including CI/CD, Python, Bash, and C#. He specializes in systems programming and containerization, with a focus on Docker for automation.
Open Source Contributions
Tim Visée is actively involved in the open-source community, maintaining a significant presence on GitHub. He showcases various projects and contributions that reflect his commitment to open-source software. He advocates for the use of Linux and open-source technologies, emphasizing their role in creating reliable and secure software solutions.
Specialization in Rust Programming
Tim Visée has a strong focus on Rust programming, particularly in the context of performance-critical and distributed systems. His expertise in Rust complements his overall skill set in software engineering and contributes to his work in developing efficient and scalable software solutions.