Built up a top-notch product & engineering team from scratch to develop our nocode pricing platform (scaled it to 20 people)
Raised money with my co-founder and just looking good and smiling in the meeting (pre seed and seed, were funded by Project A and Accel)
Code code code and shipping products to our customers
on request
Berlin
1 year 4 months
2019-06 - 2020-09
TransformerTTS
Head of AI at Axel Springer AIPythonDeep Learning
Head of AI at Axel Springer AI
Establish and lead Axel Springer AI, the artificial intelligence unit of Axel Springer SE, one of the largest digital publishing house in Europe
My team?s research focus was mainly on Voice (TTS & STT) and NLP topics. We also open-sourced several projects:
TransformerTTS (Implementation of a non-autoregressive Transformer based neural network for text to speech.) - HTML on request
ForwardTacotron (Generating speech in a single forward pass without any attention!) HTML on request
headliner (Easy training and deployment of seq2seq models.) - HTML on request
Driving Axel Springer?s change into a real ?tech? company:
Established and managed the Axel Springer techblog
Co-organized the Axel Springer TechCon 2019 which was the first installment of a group-wide conference within the Axel Springer group
I?m the ?face? of the new employer branding for technology within the Axel Springer group
Represented Axel Springer internally and externally at several renowned conferences, podcasts, magazines etc.
Established a more open-source and research-driven mindset
?Evangelizer ?for Tech & Product first
AWS
PythonDeep Learning
Axel Springer Ideas Engineering GmbH
Berlin
1 year 8 months
2017-10 - 2019-05
Several projects
Head of Data Products at idealoPython
Head of Data Products at idealo
Co-head of the data team (25+ people) with a special focus on building up the data science/data engineering team (built up from scratch - hired 6 people within 9 months)
Led the data science team directly where my team?s research focus is on:
Interpretability of deep learning models (mainly computer vision problems)
Efficient deployment of machine learning models
AutoML
Data collection process (in-house labeling and external mechanical turk approaches)
Selected projects of my team:
We used deep learning to automatically rank millions of hotel images (300+ million) according to their aesthetic and technical quality which helped to improve the listing for small and mid-sized hotels
We trained CNNs to automatically generate nice looking product galleries which reduced the workflow time of our content team by 75%
We built a tree-based classifier to predict non-purchases of customers which helped our CRM team to target those customers three days ahead before we receive the actual sales data by the shops
Provided technical and scientific guidance to senior team members and also our machine learning trainees
Created the machine learning powered roadmap for idealo for both product and research
Turned the data team from a pure cost center into a profit center e.g. monetizing our data for CRM campaigns which resulted in EUR 1 million additional revenue in the 1st year and EUR 2 million in the 2nd year
Set up a regular knowledge sharing session internally and externally across the Axel Springer companies including Bonial, Upday etc.
Established the open-source strategy under the idealoTech umbrella and executed it e.g. created and managed the idealoTech blog (
HTML on request), idealo?s Github landing page and also the @idealoTech channel on twitter
My team open-sourced several projects with high business impact:
image-quality-assessment (Convolutional Neural Networks to predict the aesthetic and technical quality of images.) - HTML on request
?image?-super-resolution (Keras implementation of the Residual Dense Network for super scaling images.) -
HTML on request
AWS
Python
idealo internet GmbH
Berlin
2 years 1 month
2015-10 - 2017-10
Leading and managing the Data Science practice
Senior Data Scientist at Pivotal Labs
Senior Data Scientist at Pivotal Labs
Leading and managing the Data Science practice for Pivotal Labs Berlin
Created machine learning models and put them into production for various clients
Supported pre-sales activities by creating demos/proof of concepts and blog articles
Scoped data science projects including proposal writing, resource estimations and budget allocation
Provided data science thought leadership, for example, helped to establish the smart apps idea and XP practices into data science like TDD (HTML on request), pair programming and CI/CD
Established an API First culture within the company: HTML on request
Gave talks at PyData Berlin, London, San Francisco 2016 and CF Summit Europe 2016
Data Scientist from 10/2015 - 06/2016
Pivotal Inc.
Berlin
1 year 2 months
2014-08 - 2015-09
Built up internal capabilities and showcases
Data Scientist at Accenture Digital
Data Scientist at Accenture Digital
Built up internal capabilities and showcases in the area of network analytics, operations analytics, text analytics, customer analytics and data visualizations
Worked on setting up an analytics center of excellence for a large German airline
Led and co-ordinated workshops at customers to demonstrate the value of data science
Acted as point of contact for internal requests of various advanced analytics topics such as machine learning and optimization
Supported pre-sales activities by creating proof of concepts for clients in telecommunication, aviation and automotive
Helped to organize internal and external events such as TEDxRheinMainSalon Datanauts and LMU DataCrunch
Accenture GmbH
Berlin
Others
Role: Various roles
Tasks:
Experienced (keynote) speaker and advisor for many diverse topics such as AI, technology, culture & transformation. Some references: Bertelsmann, Sparkasse, Süddeutscher Verlag, Dataiku
I?m a mentor for AI, (tech) products and leadership e.g. Springboard HTML on request
I?m part of Google?s Developers Experts (GDE) program for Machine Learning. I try to evangelize and build a community around AI and ML
Member of the program committee for Data Festival HTML on request
I?ve worked for my family?s business for years where I managed several things from online marketing (SEO, review portals and social networks) to finance
Sy Restaurant - HTML on request
Hotel Diana Berlin - HTML on request
Humydo - Pham & Tran GbR - HTML on request
During my undergraduate I interned at several Investment Banks e.g. Deutsche Bank, Jefferies. I gained experience in M&A, equity research and also asset management
Thesis Advisor:
?Hong ?Ngoc Truong. Bachelor Thesis, co-supervisor with (Name on request), HTW Berlin - University of Applied Sciences, Germany. Title: on request, 2018
Aus- und Weiterbildung
Aus- und Weiterbildung
2 years 3 months
2011-10 - 2013-12
Business Administration
Master of Science, Grade 1.9, Humboldt University of Berlin, Berlin
Master of Science, Grade 1.9
Humboldt University of Berlin, Berlin
Field of Specializations: Operations Research and Econometrics
Research Interests: Graph Theory, Queuing Theory and Dynamic Programming
Master Thesis: on request
3 years 4 months
2008-04 - 2011-07
Business Administration
Bachelor of Arts, Grade 1.5, Berlin School of Economics and Law, Berlin
Bachelor of Arts, Grade 1.5
Berlin School of Economics and Law, Berlin
Field of Specializations: Banking & Finance and Accounting
Bachelor Thesis: on request
6 months
2010-03 - 2010-08
Study Abroad
University of Sydney, Sydney, AUS
University of Sydney, Sydney, AUS
Exchange Program
Courses taken in Portfolio Management, International Financial Management, International Business Strategy, Calculus I and Linear Algebra I
Seasoned technology and business leader with extensive experience in creating, transforming and leading both large and small (technological) organizations.
Passion for building up high performance, cross-functional and self-managed balanced teams (from scratch). Entrepreneurial mindset through my family?s business. Open-source and machine learning evangelist with global reach.
Big fan of agile practices, lean product development & extreme programming practices.
Highlights:
I established and led Axel Springer AI (HTML on request), the artificial intelligence unit of Axel Springer SE, one of the largest digital publishing house in Europe
Driving Axel Springer?s change into a real ?tech? company:
Established and managed the Axel Springer Tech Blog
Co-organized the Axel Springer TechCon 2019 which was the first installment of a group-wide conference within the Axel Springer group
?Established ?a more open-source and research-driven mindset with several successful open-source projects e.g. imagededup 3k stars, image-super-resolution 1.9k stars etc.
Turned idealo?s data team from a pure cost center into a profit center e.g. monetizing our data for CRM campaigns which resulted in EUR 1 million additional revenue in the 1st year and EUR 2 million in the 2nd year
(Keynote) speaker at several internal and external conferences e.g WeAreDevelopers, PyData etc.
Mentor for AI, (tech) products and leadership
My (online) publications reach thousands of viewers
Skills & Interests
Computer
Very good knowledge in Python including the PyData stack: scikit-learn, pandas, matplotlib, XGBoost etc.
Working experiences with deep learning frameworks such as TensorFlow and PyTorch
Practical experiences in solving big data problems using Apache Spark (PySpark) and MPP databases
Worked under a Test-Driven and CI/CD environment and constantly embraced Pair Programming
Experiences with Microservices, PaaS and Cloud Computing (Cloud Foundry, AWS, GCP)
Automotive (Spare parts management, Aquaplaning prediction)
Banking
Logistics and E-Commerce
Einsatzorte
Einsatzorte
Berlin (+50km)
Deutschland, Schweiz, Österreich
möglich
Projekte
Projekte
3 years 6 months
2020-10 - 2024-03
Built up a top-notch product & engineering team
CTO & Co-Founder
CTO & Co-Founder
Built up a top-notch product & engineering team from scratch to develop our nocode pricing platform (scaled it to 20 people)
Raised money with my co-founder and just looking good and smiling in the meeting (pre seed and seed, were funded by Project A and Accel)
Code code code and shipping products to our customers
on request
Berlin
1 year 4 months
2019-06 - 2020-09
TransformerTTS
Head of AI at Axel Springer AIPythonDeep Learning
Head of AI at Axel Springer AI
Establish and lead Axel Springer AI, the artificial intelligence unit of Axel Springer SE, one of the largest digital publishing house in Europe
My team?s research focus was mainly on Voice (TTS & STT) and NLP topics. We also open-sourced several projects:
TransformerTTS (Implementation of a non-autoregressive Transformer based neural network for text to speech.) - HTML on request
ForwardTacotron (Generating speech in a single forward pass without any attention!) HTML on request
headliner (Easy training and deployment of seq2seq models.) - HTML on request
Driving Axel Springer?s change into a real ?tech? company:
Established and managed the Axel Springer techblog
Co-organized the Axel Springer TechCon 2019 which was the first installment of a group-wide conference within the Axel Springer group
I?m the ?face? of the new employer branding for technology within the Axel Springer group
Represented Axel Springer internally and externally at several renowned conferences, podcasts, magazines etc.
Established a more open-source and research-driven mindset
?Evangelizer ?for Tech & Product first
AWS
PythonDeep Learning
Axel Springer Ideas Engineering GmbH
Berlin
1 year 8 months
2017-10 - 2019-05
Several projects
Head of Data Products at idealoPython
Head of Data Products at idealo
Co-head of the data team (25+ people) with a special focus on building up the data science/data engineering team (built up from scratch - hired 6 people within 9 months)
Led the data science team directly where my team?s research focus is on:
Interpretability of deep learning models (mainly computer vision problems)
Efficient deployment of machine learning models
AutoML
Data collection process (in-house labeling and external mechanical turk approaches)
Selected projects of my team:
We used deep learning to automatically rank millions of hotel images (300+ million) according to their aesthetic and technical quality which helped to improve the listing for small and mid-sized hotels
We trained CNNs to automatically generate nice looking product galleries which reduced the workflow time of our content team by 75%
We built a tree-based classifier to predict non-purchases of customers which helped our CRM team to target those customers three days ahead before we receive the actual sales data by the shops
Provided technical and scientific guidance to senior team members and also our machine learning trainees
Created the machine learning powered roadmap for idealo for both product and research
Turned the data team from a pure cost center into a profit center e.g. monetizing our data for CRM campaigns which resulted in EUR 1 million additional revenue in the 1st year and EUR 2 million in the 2nd year
Set up a regular knowledge sharing session internally and externally across the Axel Springer companies including Bonial, Upday etc.
Established the open-source strategy under the idealoTech umbrella and executed it e.g. created and managed the idealoTech blog (
HTML on request), idealo?s Github landing page and also the @idealoTech channel on twitter
My team open-sourced several projects with high business impact:
image-quality-assessment (Convolutional Neural Networks to predict the aesthetic and technical quality of images.) - HTML on request
?image?-super-resolution (Keras implementation of the Residual Dense Network for super scaling images.) -
HTML on request
AWS
Python
idealo internet GmbH
Berlin
2 years 1 month
2015-10 - 2017-10
Leading and managing the Data Science practice
Senior Data Scientist at Pivotal Labs
Senior Data Scientist at Pivotal Labs
Leading and managing the Data Science practice for Pivotal Labs Berlin
Created machine learning models and put them into production for various clients
Supported pre-sales activities by creating demos/proof of concepts and blog articles
Scoped data science projects including proposal writing, resource estimations and budget allocation
Provided data science thought leadership, for example, helped to establish the smart apps idea and XP practices into data science like TDD (HTML on request), pair programming and CI/CD
Established an API First culture within the company: HTML on request
Gave talks at PyData Berlin, London, San Francisco 2016 and CF Summit Europe 2016
Data Scientist from 10/2015 - 06/2016
Pivotal Inc.
Berlin
1 year 2 months
2014-08 - 2015-09
Built up internal capabilities and showcases
Data Scientist at Accenture Digital
Data Scientist at Accenture Digital
Built up internal capabilities and showcases in the area of network analytics, operations analytics, text analytics, customer analytics and data visualizations
Worked on setting up an analytics center of excellence for a large German airline
Led and co-ordinated workshops at customers to demonstrate the value of data science
Acted as point of contact for internal requests of various advanced analytics topics such as machine learning and optimization
Supported pre-sales activities by creating proof of concepts for clients in telecommunication, aviation and automotive
Helped to organize internal and external events such as TEDxRheinMainSalon Datanauts and LMU DataCrunch
Accenture GmbH
Berlin
Others
Role: Various roles
Tasks:
Experienced (keynote) speaker and advisor for many diverse topics such as AI, technology, culture & transformation. Some references: Bertelsmann, Sparkasse, Süddeutscher Verlag, Dataiku
I?m a mentor for AI, (tech) products and leadership e.g. Springboard HTML on request
I?m part of Google?s Developers Experts (GDE) program for Machine Learning. I try to evangelize and build a community around AI and ML
Member of the program committee for Data Festival HTML on request
I?ve worked for my family?s business for years where I managed several things from online marketing (SEO, review portals and social networks) to finance
Sy Restaurant - HTML on request
Hotel Diana Berlin - HTML on request
Humydo - Pham & Tran GbR - HTML on request
During my undergraduate I interned at several Investment Banks e.g. Deutsche Bank, Jefferies. I gained experience in M&A, equity research and also asset management
Thesis Advisor:
?Hong ?Ngoc Truong. Bachelor Thesis, co-supervisor with (Name on request), HTW Berlin - University of Applied Sciences, Germany. Title: on request, 2018
Aus- und Weiterbildung
Aus- und Weiterbildung
2 years 3 months
2011-10 - 2013-12
Business Administration
Master of Science, Grade 1.9, Humboldt University of Berlin, Berlin
Master of Science, Grade 1.9
Humboldt University of Berlin, Berlin
Field of Specializations: Operations Research and Econometrics
Research Interests: Graph Theory, Queuing Theory and Dynamic Programming
Master Thesis: on request
3 years 4 months
2008-04 - 2011-07
Business Administration
Bachelor of Arts, Grade 1.5, Berlin School of Economics and Law, Berlin
Bachelor of Arts, Grade 1.5
Berlin School of Economics and Law, Berlin
Field of Specializations: Banking & Finance and Accounting
Bachelor Thesis: on request
6 months
2010-03 - 2010-08
Study Abroad
University of Sydney, Sydney, AUS
University of Sydney, Sydney, AUS
Exchange Program
Courses taken in Portfolio Management, International Financial Management, International Business Strategy, Calculus I and Linear Algebra I
Seasoned technology and business leader with extensive experience in creating, transforming and leading both large and small (technological) organizations.
Passion for building up high performance, cross-functional and self-managed balanced teams (from scratch). Entrepreneurial mindset through my family?s business. Open-source and machine learning evangelist with global reach.
Big fan of agile practices, lean product development & extreme programming practices.
Highlights:
I established and led Axel Springer AI (HTML on request), the artificial intelligence unit of Axel Springer SE, one of the largest digital publishing house in Europe
Driving Axel Springer?s change into a real ?tech? company:
Established and managed the Axel Springer Tech Blog
Co-organized the Axel Springer TechCon 2019 which was the first installment of a group-wide conference within the Axel Springer group
?Established ?a more open-source and research-driven mindset with several successful open-source projects e.g. imagededup 3k stars, image-super-resolution 1.9k stars etc.
Turned idealo?s data team from a pure cost center into a profit center e.g. monetizing our data for CRM campaigns which resulted in EUR 1 million additional revenue in the 1st year and EUR 2 million in the 2nd year
(Keynote) speaker at several internal and external conferences e.g WeAreDevelopers, PyData etc.
Mentor for AI, (tech) products and leadership
My (online) publications reach thousands of viewers
Skills & Interests
Computer
Very good knowledge in Python including the PyData stack: scikit-learn, pandas, matplotlib, XGBoost etc.
Working experiences with deep learning frameworks such as TensorFlow and PyTorch
Practical experiences in solving big data problems using Apache Spark (PySpark) and MPP databases
Worked under a Test-Driven and CI/CD environment and constantly embraced Pair Programming
Experiences with Microservices, PaaS and Cloud Computing (Cloud Foundry, AWS, GCP)