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PhD | AI Engineer (ex-Google), Cargo Bike Courier
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Assessing your cultural and operational fit
Data+AI Engineer and Cloud Architect with extensive research and global consulting experience in large-scale ML/AI, mathematical optimization, and geospatial. Daniel is a Databricks / AWS / Google Cloud Certified Professional, and SFG I Kettlebell Trainer.
Delft University of Technology
Doctor of Philosophy (Ph.D.), Operations Research
January 1, 2010 – January 1, 2016
EPFL
Erasmus Scholarship, Communications Systems
January 1, 2006 – January 1, 2006
Budapest University of Technology and Economics
Master's Degree, Electrical Engineering
January 1, 2003 – January 1, 2008
ELTE Radnóti Miklós High School
High School
January 1, 1995 – January 1, 2003
Databricks
Sr. Forward Deployed Engineer (Data Engineering, ML/(Gen)AI, Geospatial)
May 1, 2026 – Present
Amsterdam
Databricks
Resident Solutions Architect
January 1, 2026 – May 1, 2026
Amsterdam
Goudappel
Cloud Architect, Geospatial Data Products (Dat.Mobility)
January 1, 2025 – December 1, 2025
Deventer / Den Haag, Netherlands · On-site
Databricks
Senior Specialist Solutions Architect (AI/ML, MLOps, Cloud Architecture, Geospatial)
September 1, 2022 – December 1, 2024
Amsterdam, North Holland, Netherlands
Senior AI Engineer, Google Cloud EMEA Professional Services
December 1, 2021 – August 1, 2022
Senior Machine Learning Solutions Engineer, Advanced Solutions Lab Instructor, Google Cloud 🗽
October 1, 2019 – December 1, 2021
Customer Engineer Specialist ML/AI, Google Cloud Asia Pacific
November 1, 2017 – October 1, 2019
IBM
Principal Data Scientist, Cognitive Solutions Studio Singapore
November 1, 2016 – October 1, 2017
IBM
Lead Data Scientist, Worldwide Advanced Analytics Center of Competence
July 1, 2014 – October 1, 2016
Delft University of Technology
PhD Researcher
April 1, 2010 – June 1, 2014
Delft Area, Netherlands
Finalyse
Credit Risk Consultant
January 1, 2008 – March 1, 2010
Brussels, Amsterdam, Vienna, Budapest
Albatroz Engineering
Database Developer
June 1, 2007 – August 1, 2007
Lisbon Area, Portugal
PanTel Telecommunications
Business Intelligence Analyst
March 1, 2007 – June 1, 2007
Budapest, Hungary
Databricks Certified Generative AI Engineer Associate
Databricks
June 24, 2026 – Present
Kettlebell Instructor SFG I
StrongFirst
June 24, 2026 – Present
Google Cloud Certified Professional Cloud Architect
June 24, 2026 – Present
Databricks Certified Machine Learning Professional
Databricks
June 24, 2026 – Present
Databricks Certified Data Analyst Associate
Databricks
June 24, 2026 – Present
Professional Data Engineer
June 24, 2026 – Present
Google Cloud Certified Professional Machine Learning Engineer
June 24, 2026 – Present
TensorFlow Developer Certificate
TensorFlow Certificate Program
June 24, 2026 – Present
AWS Certified AI Practitioner
Amazon Web Services (AWS)
June 24, 2026 – Present
Databricks Certified Data Engineer Professional
Databricks
June 24, 2026 – Present
AWS Certified Machine Learning – Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
Databricks Certified Associate Developer for Apache Spark 3.0
Databricks
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a dynamic, innovation-driven environment, particularly within the data and AI domain. Their diverse experience across multiple industries (telecom, finance, retail, energy, public sector) and global regions (EMEA, APAC) showcases adaptability and a broad perspective. The continuous pursuit of certifications and involvement in cutting-edge areas like Generative AI and Geospatial ML indicates a strong drive for continuous learning and staying current with industry trends. The target role of 'Data Analyst' might be an underestimation of their capabilities, as their profile aligns more with a Senior Data Scientist, ML Engineer, or Solutions Architect role.
Soft Skills & Operational Fit
The candidate's extensive experience in consulting and solutions architecture roles at major tech companies like Google and Databricks suggests strong communication, problem-solving, and client-facing skills. Their background in teaching and curriculum development also points to excellent explanatory abilities and a structured approach to complex topics. The descriptions of their roles indicate a proactive and unblocking operational style, suitable for senior-level contributions.