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Featured: Women in Tech Empowerment Guide 2023
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  1. nominee
  2. Mikaela
  3. Nominee
  4. Nominee


Mikaela Pisani

Machine Learning Lead at Rootstrap

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Finalist in the categories:
Global AI Inclusion Award

Celebrate 100 000 Women in Tech
Fostering Innovation with Purpose and Impact.

>> December 01 - Virtual <<
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Mikaela Pisani Bio

When Mika was 17 she attended a programming workshop that showed students what a day was like in the life of a Computer Engineer. At that moment, she knew she wanted to be an engineer and learn how to investigate and solve problems to help find the best design for solutions. She was fascinated by the innovation and creative aspect of this type of career, and as a result, decided to study Computer Engineering.

Both at work and university, she quickly noticed just how few women were involved in technology as a whole and she believes that this is a direct result of the prejudices that are currently found in our society. Upon completing University, Mika joined Girls in Tech UY, with the mission of changing the narrative of women working in technology and encouraging girls not to be afraid of pursuing it as a career. Today, she is the Co-Managing Director of this non-profit organization.
Mika started out working as a Junior Developer before becoming a Technical Leader. She worked mainly designing Microservices, Middleware architectures, and fault tolerance systems. These services generate high volumes of data distributed among various platforms in different formats. Processing this data with usual methods is not viable because of the huge amount of information and the short deadlines demanded by the market.

So, Big Data came into the picture for her and she became heavily interested in data and the techniques for processing it. This led to a successful Fulbright Scholarship application, followed by a Master’s Degree in Data Science at Texas Tech University, USA. Today, she is Head of Data Science at Rootstrap where she applies machine learning algorithms to tackle ongoing complex challenges to find value in data.

In her work to support women in AI globally, she is also part of a community called AI Wonder Girls, which joins women around the world that are working with AI. The main objective of this community is to support each other. They achieve this by presenting projects to hackathons and building study groups.
In addition, she is also part of ANT, an interdisciplinary group that through the integration of Art, Neuroscience, and Technology, seeks to generate both critical and playful devices that reflect on contemporary themes. They work to spread and encourage interest in Art, Neuroscience, and Technology within the framework of research, education, and praxis. ANT promotes Citizen Neuroscience, Citizen Art, and Citizen Technology.



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