Lisa Becker
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Lisa Becker Email & Phone Number

ML Engineer | O'Reilly Course Instructor | Google WTM Ambassador | Public Speaker at Pure App
Location: Berlin, Germany 9 work roles 4 schools
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Role
ML Engineer | O'Reilly Course Instructor | Google WTM Ambassador | Public Speaker
Location
Berlin, Germany

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Lisa Becker is listed as ML Engineer | O'Reilly Course Instructor | Google WTM Ambassador | Public Speaker at Pure App, based in Berlin, Germany. AeroLeads shows a matched LinkedIn profile for Lisa Becker.

Lisa Becker previously worked as Machine Learning Engineer at Pure App and Course Instructor at O'Reilly. Lisa Becker holds Master Of Science, Cognitive Systems: Language, Learning, Reasoning from University Of Potsdam.

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Pure App

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About Lisa Becker

Lisa is a Machine Learning Engineer at Pure App, a dating app that connects people based on their preferences and location. She has over two years of experience in applying natural language processing (NLP) and large language models (LLM) to various domains and challenges, such as speech recognition, sentiment analysis, and text generation. She holds a master's degree in cognitive systems from the University of Potsdam, where she studied the intersection of language, learning, and reasoning.In her current role, Lisa leverages her technical and linguistic skills to enhance the user experience and engagement of Pure App. She develops and deploys NLP and LLM solutions that enable users to communicate more effectively, discover compatible matches, and receive personalized recommendations. She also contributes to the research and innovation of the app, exploring new ways of using AI to create meaningful and authentic connections. Lisa is passionate about sharing her knowledge and insights with the wider AI community, as a public speaker, a blogger, and a diversity, equity, and inclusion advocate.

Listed skills include Ibex, Pandas, Scikit Learn, Git, and 27 others.

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Pure App
Pure App
ML Engineer | O'Reilly Course Instructor | Google WTM Ambassador | Public Speaker
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9 roles

Lisa Becker work experience

A career timeline built from the work history available for this profile.

Machine Learning Engineer

Current

Berlin, De

- Employ large language models and natural language processing techniques to improve real-time communication features, ensuring privacy and compliance with ethical standards.- Collaborate with cross-functional teams including data scientists, product managers, and software and backend developers to integrate graph neural networks seamlessly to provide optimised user matches.

Nov 2023 - Present

Course Instructor

Current

Sebastopol, Ca, Us

I created and teach the online courses:- On Demand: Natural Language Processing Fundamentals: Techniques, Tools, and Applications: https://learning.oreilly.com/course/natural-language-processing/0790145481825/- Webinar: Running Open Source LLMs Locally (in development)- Webinar: Local LLMs Made Easy - Using UI-Based Frameworks Jan AI and GPT4ALL (in development)

Nov 2023 - Present

Machine Learning Engineer

Ghent, Flemish Region, Be

Reimplementation of Google Cloud Natural Language API for a social media analyser- Decrease monthly usage cost from €450.000 (Google’s API) to €30.000 (our API) by combining multiple open source models on GCP, tailoring the extraction of focus words for the client’s needs.- Ensured dynamic scaling from 0 to 1.5 million processed requests per day with a cache mechanism to optimize performance and cost.Generating business insights by analysing recorded customer calls of a leading media distributor- Set up a labelling environment on Label Studio and wrote a labelling manual.- Conducted customer training sessions and workshops on labelling speech data, guiding clients through the process through iterative feedback.- Decreased the transcription error rate from 53% to 33% by fine tuning a transcription model (ASR) on the labelled data. Digitalising scans of newspapers from a newspaper distributor- Established a labelling environment, conducted client workshops on labelling newspaper scans and guided the labellers through the process through iterative feedback.- Conducted a workshop for clients on labelling newspaper scans and guided the labellers through the process through iterative feedback.- Improved newspaper accessibility by fine tuning a model on the labelled data that digitalises them.(Selected projects)

Jun 2021 - Oct 2023

Public Speaker

Ghent, Flemish Region, Be

- Increase visibility for ML6 and regularly share insights at various events and conferences. Known for communicating complex technical concepts in an engaging and accessible way. - Advocate for empowerment and DEI by giving workshops such as the one from Google’s #IAmRemarkable initiative inside and outside ML6.

Jun 2021 - Oct 2023

Master Thesis Intern

Ghent, Flemish Region, Be

Building an "Intelligent Illustrator", a text guided Image-to-Image Translator based on GANs (before the advent of DALL-E and other multimodal image generators).

Oct 2020 - May 2021

Software Developer

Brussel, Brussels Hoofdstedelijk Gewest, Be

1-month project of the Flanders Research Information Space (FRIS) for the Belgian government. My team and I developed a service that enriches the metadata of the search engine with new keywords.

Jul 2020 - Aug 2020

Visiting Researcher At Clips

Antwerpen, Antwerpen, Be

Research visit at the CLiPS (Computerlinguistics & Psycholinguistics) Research Centre at the University of Antwerp: Prediction of schizophrenia with computational stylometry under supervision of Prof. Dr. Walter Daelemans. The research was presented at:- conference CLIN30 in Utrecht, Jan 30 2020- university poster slam in Potsdam, Apr 29 2020 (online)

Oct 2019 - Dec 2019

Research Assistant

Potsdam, Brandenburg, De

Assistance of designing, coding, conducting and analyzing psycholinguistic experiments under Prof. Dr. Sol Lago at the Vasishth-lab at the University of Potsdam. The experiments varied from reading-decision experiments to eye-trackings experiments with visual world paradigms.

Oct 2017 - Jan 2019

Assistant Campaign Manager

Berlin, De

Assistance with the development and conducting of campaigns as my federal volunteer service between high school and university. (DE: “Bundesfreiwilligendienst")

Apr 2013 - Aug 2014
4 education records

Lisa Becker education

Master Of Science, Cognitive Systems: Language, Learning, Reasoning

University Of Potsdam

Bachelor Of Science, General Theoretical Linguistics (Focus On Psycholinguistics) And Philosophy (Minor)

University Of Potsdam

Erasmus+, Computational Linguistics

University Of Antwerp

Erasmus+, Theoretical Linguistics And Philosophy

Háskóli Íslands
FAQ

Frequently asked questions about Lisa Becker

Quick answers generated from the profile data available on this page.

What company does Lisa Becker work for?

Lisa Becker works for Pure App.

What is Lisa Becker's role at Pure App?

Lisa Becker is listed as ML Engineer | O'Reilly Course Instructor | Google WTM Ambassador | Public Speaker at Pure App.

Where is Lisa Becker based?

Lisa Becker is based in Berlin, Germany while working with Pure App.

What companies has Lisa Becker worked for?

Lisa Becker has worked for Pure App, O'Reilly, Ml6 | Your Partner In Ai, Open Summer Of Code, and University Of Antwerp.

How can I contact Lisa Becker?

You can use AeroLeads to view verified contact signals for Lisa Becker at Pure App, including work email, phone, and LinkedIn data when available.

What schools did Lisa Becker attend?

Lisa Becker holds Master Of Science, Cognitive Systems: Language, Learning, Reasoning from University Of Potsdam.

What skills is Lisa Becker known for?

Lisa Becker is listed with skills including Ibex, Pandas, Scikit Learn, Git, Psycholinguistics, Matlab, Micropython, and Data Analysis.

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