When Priska Burkard started her career in technology, switching from Medical Laboratory Assistant to Application Engineer and Business Analyst, she experienced first-hand how difficult it is to enter the tech domain.

Companies tend to hire candidates based on their previous jobs, so career switchers automatically get discarded regardless of their skills and expertise. Priska saw the need for a new hiring approach, free from bias.

That’s how the idea of an anonymous talent-matching platform was born. With such a solution, companies could choose candidates based solely on their skills instead of focusing on their past jobs, age, or gender.  

TechFace wanted to solve two problems:

With this mission, Priska co-founded TechFace and teamed up with Modeso to build an AI-powered platform for women in tech.

TechFace's MVP had to be developed within a tight two-month timeframe so the founders could unveil the platform at the public conference.

We kicked off the project in June 2021, focusing on creating a robust match-making mechanism. Despite the tight deadline, our team ensured that the functionality was polished and reliable. By August, we successfully delivered the first version of the MVP. This initial release included the core match-making functionality but did not yet incorporate the sign-up process for candidates.

Despite the tight deadline, we got the MVP ready before the conference and launched it successfully. It received positive feedback from the community, encouraging TechFace to start the second development phase to finalize the platform's functionality.

For this project, we used our standard technology stack, optimizing it to suit the platform’s needs. We used Node.JS for backend development, offering robust support for server-side operations, and Angular for the front end, providing a dynamic user interface.
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Our Python microservice, built using the Flask framework, serves as an intermediary to an external service that handles complex machine-learning tasks like skills extraction and verification.
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For managing platform content, we chose AdminJS which acts as a centralized CMS. Its intuitive interface allows administrators to modify data without the need to code, streamlining content management and facilitating seamless updates.