AI & Data Science Leader | Generative AI, Pharma, and Scalable Product Development
Aktualisiert am 12.09.2025
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 02.08.2025
Verfügbar zu: 100%
davon vor Ort: 100%
AI project leadership
ML model development
R&D

Einsatzorte

Einsatzorte

Berlin (+500km) Zürich (+500km) Vienna (+500km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

3 Jahre 6 Monate
2022-01 - 2025-06

Directed roadmap and execution across AI, data and engineering teams building high-impact consumer finance features and mentoring ML engineers.

Head of Machine Learning and Data Science
Head of Machine Learning and Data Science

Summary: At EQL Finance I architected and built the company?s entire ML + analytics platform (warehouse, ELT, model serving, monitoring) while directing multi-year roadmaps and leading cross-functional ML and engineering teams to deliver high-impact consumer finance features and measurable growth.

  • Leading the ideation and development of data products from R&D through production implementation
  • Architect and lead the simultaneous development of multiple data projects
  • Building working prototypes in Keras, Ray, and SKlearn
  • Working closely with CEO and founders making substantial contributions to product strategy, while aligning this with the data and data science roadmap
  • Owning and managing data science and analytics roadmap
  • Directly manage and mentor the data team
  • Provide technical leadership of overall architecture, ML approaches, performance monitoring, continuing improvement, and production deployments
EQL Finance
Washington, D.C.
1 Jahr 10 Monate
2019-03 - 2020-12

Scaled machine learning to SaaS?enterprise NLP and medical graphs powering faster, smarter drug-safety reviews. (BI X / IT R&D Department)

Senior Machine Learning Research Engineer (contractor)
Senior Machine Learning Research Engineer (contractor)
  • Worked collaboratively with member?s of Boehringer Ingelheim?s IT R&D, their digital lab (BI X), and Patient Safety & Pharmacovigillance department.
  • Leading the R&D of a novel NLP solution in the drug safety domain
  • Contributing to building a one-of-a-kind medical knowledge graph
  • Working closely with safety physicians to identify use-cases for ML and NLP in the product
  • Working with medical data sources and taxonomies (Medra, SNOMED, DrugBank)
Boehringer Ingelheim
Ingelheim am Rhein
3 Jahre 3 Monate
2015-12 - 2019-02

Scaled ML personalization from 0?25M users and ~?20M revenue: NLP recommenders, experimentation, and AI roadmap leadership

Senior Data Scientist
Senior Data Scientist
  • Leading the data science efforts for a news app with ~20M users across Europe
  • Building and validating proof-of-concepts
  • Introducing data driven product development practices and supporting experimentation
  • Sharing use-cases for and recent advances in the current ML state-of-the-art internally and across Axel-Springer companies.
  • Intra-company consulting on ML and RecSys projects


Projects

  • Re-building our recommendation system to utilize a neural embeddings for our content based recommendation.
  • Designing the content personalization experience and algorithm for BMW connected car entertainment system

upday for Samsung
Berlin
3 Jahre 11 Monate
2012-01 - 2015-11

Conceived, and led the R&D of novel data driven product features

Research Data Scientist
Research Data Scientist
  • Conceived, and led the R&D of novel data driven product features
  • Developed collaborative data collection initiatives across business segments
  • Developed distributed SVM and logistic regression classifiers
  • Worked with R, Python, and Elasticsearch
  • Developed marketing attribution models 
Motility Ads

Aus- und Weiterbildung

Aus- und Weiterbildung

2010:

Biomedical Engineering

Master of Science

University of South Florida


2007:

Electrical Engineering

Bachelor of Science

University of Florida

Kompetenzen

Kompetenzen

Top-Skills

AI project leadership ML model development R&D

Schwerpunkte

Product Innovation

  • Applying a user-centric approach to product innovation and system design.
  • Linking disparate ideas and concepts. Comunicating vision, strategy, and objectives with diverse stakeholders.


Data Analytics & Machine Intelligence

  • Experience with the full lifecycle of building ML and analytics solutions: identifying valuable problems, reviewing research literature, building a proof-of-concept hands-on, architecting and managing the development of large-scale production systems, and monitoring performance.


Adaptive Problem Solving

  • Tackling problems outside of my immediate expertise. Breaking it down to constituent elements, engaging external resources, implementing solutions in a collaborative environment. 
  • The challenges I?ve overcome range from troubleshooting RNA primers in a wetlab to handling unpredictable contractors while working on a rural water system in a developing country


Project Management

  • Designing, executing, and monitoring solutions in small teams. 

Produkte / Standards / Erfahrungen / Methoden

I LOVE 

  • developing innovative solutions to hairy problems.working in the fringes. 
  • finding hidden value. 
  • diverse teams. 
  • adapting.


LANGUAGES & TECHNOLOGIES

  • Keras
  • Ray
  • PyTorch
  • Sci-kit Learn
  • Jupyter
  • W&B
  • Python
  • Spark
  • R
  • Elasticsearch
  • SQL
  • AWS (EMR, EC2, Lambda, S3, Redshift, Athena)
  • GCP (Compute, CloudSQL, BigQuery, Vertex)


RESEARCH

Winter 2009 - Summer 2009:

Role: Research Assistant

Customer: University of South Florida Civil & Environmental Engineering Dep.


Tasks:

  • Led in-lab research during the early stage development of a novel RT-PCR based bacterial assay
  • Successfully troubleshot primer designs during experimental difficulties


Summer 2007 - Spring 2008:

Role: Research Assistant

Customer: University of Florida Biomedical Engineering Dep.


Tasks:

  • Initiated research investigating the use of sickle-cells as an new drug delivery method
  • Conducted an extensive literature review to inform experimental design


Fall 2006 - Summer 2007:

Role: Research Assistant

Customer: University of Florida Civil Engineering Dep.


Tasks:

  • Conducted research and assisted in the development of a wireless structural failure warning system.


Summer 2006:

Role: Research Assistant

Customer: University of Florida Biophotonics & Microsystems Lab


Tasks:

  • Assisted doctoral students developing MEMS micro mirrors with fabrication and testing.


SUSTAINABLE DEVELOPMENT

Winter 2008 - Fall 2010:

Role: Engineer

Engineers Without Borders


Tasks:

  • Designed and constructed a groundwater access and distribution system in the Dominican Republic
  • Collaborated remotely with internationally located engineers to iterate and improve system design
  • Coordinated numerous field studies: needs, geotechnical, ground water quality, health impact
  • Conducted community wide stakeholders meetings with community and government leaders
  • Taught myself Spanish and the essentials of groundwater system design

Einsatzorte

Einsatzorte

Berlin (+500km) Zürich (+500km) Vienna (+500km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

3 Jahre 6 Monate
2022-01 - 2025-06

Directed roadmap and execution across AI, data and engineering teams building high-impact consumer finance features and mentoring ML engineers.

Head of Machine Learning and Data Science
Head of Machine Learning and Data Science

Summary: At EQL Finance I architected and built the company?s entire ML + analytics platform (warehouse, ELT, model serving, monitoring) while directing multi-year roadmaps and leading cross-functional ML and engineering teams to deliver high-impact consumer finance features and measurable growth.

  • Leading the ideation and development of data products from R&D through production implementation
  • Architect and lead the simultaneous development of multiple data projects
  • Building working prototypes in Keras, Ray, and SKlearn
  • Working closely with CEO and founders making substantial contributions to product strategy, while aligning this with the data and data science roadmap
  • Owning and managing data science and analytics roadmap
  • Directly manage and mentor the data team
  • Provide technical leadership of overall architecture, ML approaches, performance monitoring, continuing improvement, and production deployments
EQL Finance
Washington, D.C.
1 Jahr 10 Monate
2019-03 - 2020-12

Scaled machine learning to SaaS?enterprise NLP and medical graphs powering faster, smarter drug-safety reviews. (BI X / IT R&D Department)

Senior Machine Learning Research Engineer (contractor)
Senior Machine Learning Research Engineer (contractor)
  • Worked collaboratively with member?s of Boehringer Ingelheim?s IT R&D, their digital lab (BI X), and Patient Safety & Pharmacovigillance department.
  • Leading the R&D of a novel NLP solution in the drug safety domain
  • Contributing to building a one-of-a-kind medical knowledge graph
  • Working closely with safety physicians to identify use-cases for ML and NLP in the product
  • Working with medical data sources and taxonomies (Medra, SNOMED, DrugBank)
Boehringer Ingelheim
Ingelheim am Rhein
3 Jahre 3 Monate
2015-12 - 2019-02

Scaled ML personalization from 0?25M users and ~?20M revenue: NLP recommenders, experimentation, and AI roadmap leadership

Senior Data Scientist
Senior Data Scientist
  • Leading the data science efforts for a news app with ~20M users across Europe
  • Building and validating proof-of-concepts
  • Introducing data driven product development practices and supporting experimentation
  • Sharing use-cases for and recent advances in the current ML state-of-the-art internally and across Axel-Springer companies.
  • Intra-company consulting on ML and RecSys projects


Projects

  • Re-building our recommendation system to utilize a neural embeddings for our content based recommendation.
  • Designing the content personalization experience and algorithm for BMW connected car entertainment system

upday for Samsung
Berlin
3 Jahre 11 Monate
2012-01 - 2015-11

Conceived, and led the R&D of novel data driven product features

Research Data Scientist
Research Data Scientist
  • Conceived, and led the R&D of novel data driven product features
  • Developed collaborative data collection initiatives across business segments
  • Developed distributed SVM and logistic regression classifiers
  • Worked with R, Python, and Elasticsearch
  • Developed marketing attribution models 
Motility Ads

Aus- und Weiterbildung

Aus- und Weiterbildung

2010:

Biomedical Engineering

Master of Science

University of South Florida


2007:

Electrical Engineering

Bachelor of Science

University of Florida

Kompetenzen

Kompetenzen

Top-Skills

AI project leadership ML model development R&D

Schwerpunkte

Product Innovation

  • Applying a user-centric approach to product innovation and system design.
  • Linking disparate ideas and concepts. Comunicating vision, strategy, and objectives with diverse stakeholders.


Data Analytics & Machine Intelligence

  • Experience with the full lifecycle of building ML and analytics solutions: identifying valuable problems, reviewing research literature, building a proof-of-concept hands-on, architecting and managing the development of large-scale production systems, and monitoring performance.


Adaptive Problem Solving

  • Tackling problems outside of my immediate expertise. Breaking it down to constituent elements, engaging external resources, implementing solutions in a collaborative environment. 
  • The challenges I?ve overcome range from troubleshooting RNA primers in a wetlab to handling unpredictable contractors while working on a rural water system in a developing country


Project Management

  • Designing, executing, and monitoring solutions in small teams. 

Produkte / Standards / Erfahrungen / Methoden

I LOVE 

  • developing innovative solutions to hairy problems.working in the fringes. 
  • finding hidden value. 
  • diverse teams. 
  • adapting.


LANGUAGES & TECHNOLOGIES

  • Keras
  • Ray
  • PyTorch
  • Sci-kit Learn
  • Jupyter
  • W&B
  • Python
  • Spark
  • R
  • Elasticsearch
  • SQL
  • AWS (EMR, EC2, Lambda, S3, Redshift, Athena)
  • GCP (Compute, CloudSQL, BigQuery, Vertex)


RESEARCH

Winter 2009 - Summer 2009:

Role: Research Assistant

Customer: University of South Florida Civil & Environmental Engineering Dep.


Tasks:

  • Led in-lab research during the early stage development of a novel RT-PCR based bacterial assay
  • Successfully troubleshot primer designs during experimental difficulties


Summer 2007 - Spring 2008:

Role: Research Assistant

Customer: University of Florida Biomedical Engineering Dep.


Tasks:

  • Initiated research investigating the use of sickle-cells as an new drug delivery method
  • Conducted an extensive literature review to inform experimental design


Fall 2006 - Summer 2007:

Role: Research Assistant

Customer: University of Florida Civil Engineering Dep.


Tasks:

  • Conducted research and assisted in the development of a wireless structural failure warning system.


Summer 2006:

Role: Research Assistant

Customer: University of Florida Biophotonics & Microsystems Lab


Tasks:

  • Assisted doctoral students developing MEMS micro mirrors with fabrication and testing.


SUSTAINABLE DEVELOPMENT

Winter 2008 - Fall 2010:

Role: Engineer

Engineers Without Borders


Tasks:

  • Designed and constructed a groundwater access and distribution system in the Dominican Republic
  • Collaborated remotely with internationally located engineers to iterate and improve system design
  • Coordinated numerous field studies: needs, geotechnical, ground water quality, health impact
  • Conducted community wide stakeholders meetings with community and government leaders
  • Taught myself Spanish and the essentials of groundwater system design

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