Ingo Fründ
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Ingo Fründ Email & Phone Number

Staff Applied AI Engineer at Workist
Location: Berlin, Germany 10 work roles 3 schools
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Current company
Role
Staff Applied AI Engineer
Location
Berlin, Germany

Who is Ingo Fründ? Overview

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Ingo Fründ is listed as Staff Applied AI Engineer at Workist, based in Berlin, Germany. AeroLeads shows a matched LinkedIn profile for Ingo Fründ.

Ingo Fründ previously worked as Sr. ML Engineer at Verbally Gmbh and Sr. Deep Learning Engineer at Untether Ai. Ingo Fründ holds Doctor Of Philosophy (Ph.D.), Biological Psychology, Summa Cum Laude from Otto-Von-Guericke-Universität Magdeburg.

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Workist

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Profile bio

About Ingo Fründ

I'm a senior data scientist/ML engineer with strong roots in vision and statistics. I am passionate about technical details of bringing machine learning based products to production. I am a strong believer in team work: If every team member can contribute what they know and what they are able to do, the team as a whole can move faster and create sustainable value.In the past, I have worked both in academic and in corporate positions and I am very comfortable to switch between the creating insights as a data scientist and implementing those insights in productively running systems.

Listed skills include Python, Statistics, Machine Learning, Unit Testing, and 26 others.

Current workplace

Ingo Fründ's current company

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Workist
Workist
Staff Applied AI Engineer
Berlin, DE
AeroLeads page
10 roles

Ingo Fründ work experience

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

Staff Applied Ai Engineer

Berlin, De

Staff Applied Ai Engineer

Berlin, Germany

Sr. Ml Engineer

Berlin, Germany

At verbally, we are building a virtual meeting assistant that supports healthy meeting habits. As one of two (later three) engineers, my own work in this context ranged from backend development to devops to machine learning.

Feb 2021 - Mar 2024

Sr. Deep Learning Engineer

Toronto, Ontario, Canada

At Untether AI, I developed a python module for quantizing deep neural networks. In addition to typical machine learning related work (convolutional neural networks and transformers), I also significantly shaped the software architecture and was responsible for setting up regular and automatic testing and packaging of the software.I also worked as an interim product owner for Untether's entire software stack (quantization and compiler).

May 2020 - Jan 2021

Assistant Professor

Toronto, Canada Area

I was leading a small research group that compares machine learning - mostly deep neural networks - to human visual performance.

Jul 2017 - May 2020

A.I. Engineer

Twenty Billion Neurons Gmbh

Berlin, Moving To Toronto In May 2017

At TwentyBN, I was part and later lead a team of deep learning researchers in developing A.I. systems that can achieve fine grained understanding of video data.

Nov 2016 - Jul 2017

Data Scientist

Building a sales forecasting system in python, using a modular approach that combines different machine learning methods into an efficient and accurate sales forecast.

Sep 2015 - Oct 2016

Post-Doctoral Fellow

Toronto, Ontario

Responsibilities: Statistical modeling, development of Monte-Carlo-methods to analyze complex statistical patterns in images, computer vision, design, execution, and analysis of behavioral experiments, publishing scientific articles

Sep 2012 - Aug 2015

Postdoctoral Researcher

Berlin, Germany

Responsibilities: Statistical modeling, design and development of a software package for analyzing behavioral experiments (C++-back-end with interfaces for python, R, and matlab, portable for Mac, Windows and Linux), analysis of behavioral experiments, publishing scientific articles

Jun 2009 - Jul 2012

Postdoctoral Fellow

Otto-Von-Guericke-University Magdeburg, And Leibniz Institute For Neurobiology

Magdeburg, Germany

Responsibilities: Design, execution, analysis of physiological experiments, statistical modeling, development and adaptation of methods for modeling and processing digital signals. Publishing scientific articles.

May 2008 - May 2009
3 education records

Ingo Fründ education

Doctor Of Philosophy (Ph.D.), Biological Psychology, Summa Cum Laude

Dissertation title: "Speed in early vision" Using electroencephalography, behavioral experimentation and computational modeling

FAQ

Frequently asked questions about Ingo Fründ

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

What company does Ingo Fründ work for?

Ingo Fründ works for Workist.

What is Ingo Fründ's role at Workist?

Ingo Fründ is listed as Staff Applied AI Engineer at Workist.

Where is Ingo Fründ based?

Ingo Fründ is based in Berlin, Germany while working with Workist.

What companies has Ingo Fründ worked for?

Ingo Fründ has worked for Workist, Verbally Gmbh, Untether Ai, York University, and Twenty Billion Neurons Gmbh.

How can I contact Ingo Fründ?

You can use AeroLeads to view verified contact signals for Ingo Fründ at Workist, including work email, phone, and LinkedIn data when available.

What schools did Ingo Fründ attend?

Ingo Fründ holds Doctor Of Philosophy (Ph.D.), Biological Psychology, Summa Cum Laude from Otto-Von-Guericke-Universität Magdeburg.

What skills is Ingo Fründ known for?

Ingo Fründ is listed with skills including Python, Statistics, Machine Learning, Unit Testing, C/C++, R, Winbugs, and Git.

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