Skills

Machine Learning

TensorFlow, Keras, Spark, Recommendation Algorithms

Web Development

React, NodeJS, Django

Amazon Cloud

Lambda, GraphQL, K8s, SageMaker

Mathematics

Numerical Linear Algebra, Statistics, Graph Theory

Python

NumPy, SciPy, pandas, Scikit-Learn

Experience

 
 
 
 
 

Chief Data Officer

XLabs.ai

Dec 2018 – Present California
Responsibilities include:

  • Analysing
  • Modelling
  • Deploying
 
 
 
 
 

Chief Technology Officer

PostPlanner

Jun 2016 – Nov 2018 California
Heading all technology efforts, leading and managing the front-end and backend teams. Building recommendation algorithms used by more than 250,000 users. Responsible for architecting and building the cloud infrastructure, migrating all infrastructure from Digital Ocean to AWS.
 
 
 
 
 

Senior Software Engineer

Scal.io

Jun 2016 – Oct 2015 California
Heading all technology efforts, leading and managing the front-end and backend teams. Building recommendation algorithms used by more than 250,000 users. Responsible for architecting and building the cloud infrastructure, migrating all infrastructure from Digital Ocean to AWS.
 
 
 
 
 

Chief Technology Officer

Paystik / Evergive

May 2013 – Oct 2015 California
[Acquired by OneParish] Led a team of engineers and spearheading the product development of the Android, iOS and web application. Developed a fully scalable and distributed backend infrastructure from the ground up. Designed and implemented analytical tools to provide insights for the internal leadership team and external partners.

Academia

 
 
 
 
 

Stanford University

PhD, Computational and Mathematical Engineering

2011 – 2015 Stanford, California
Currently on leave of absence.
 
 
 
 
 

Stanford University

Master of Science, Computational and Mathematical Engineering

2011 – 2014 Stanford, California
Courses include: Numerical Linear Algebra, Theoretical Partial Differential Equations, Robotics, Large-scale Algorithms, Discrete Algorithms, Information Networks, Numerical Optimization, Parallel Computing.
 
 
 
 
 

Stanford University

Visiting Researcher

2010 – 2011 Institute for Computational and Mathematical Engineering, Stanford, California

Master Thesis: Cortical Parcellation using PageRank Clustering and the Small-Worldness of ADHD.

Supervisors: Prof. M.G. Gerritsen (Stanford University) and Prof. L.J.M. Rothkrantz (Delft University of Technology).

 
 
 
 
 

Delft University of Technology

Master of Science, Computer Science

2008 – 2011 Delft, The Netherlands
Graduated with highest distinction.

  • GPA: 9⁄10, ranked 1st in the Computer Science Department.
  • Concentration: Artificial Intelligence and Machine Learning.
  • Teaching: Instructor and responsible for teaching Prolog, multi-agent programming, data structures and algorithms classes, introduction to programming.
 
 
 
 
 

Amsterdam University of Applied Science

Bachelor Computer Science

2004 – 2008 Amsterdam, The Netherlands
Graduated with highest distinction.

  • GPA: 9⁄10, ranked 2nd in the Computer Science Department.

Honors and Awards

NVIDIA

Stanford University 2012 – 2014
2 year fellowship by NVIDIA, under the CUDA Center of Excellence (CCOE) program.

Library of Congress

Stanford University 2011 – 2012
Full research scholarship by the Library of Congress under the Computational Approaches to Digital Stewardship (CADS) program.

Fulbright Fellowship

Fulbright 2010 – 2011

Huygens Talent Scholarship

Nuffic 2010 – 2011
National Award for Best Students in the Netherlands.

EEMCS Faculty Scholarship

Delft University of Technology 2009 – 2011
Scholarship from Delft University of Technology for research.

Projects

Track changes to your models, for auditing or versioning. See how a model looked at any stage in its lifecycle, revert it to any …
GitHub Sequelize

Publications

(2015). Mobile payment hotspot.

PDF Google Patents

(2012). Agent Smith: Opponent Model Estimation in Bilateral Multi-issue Negotiation. New Trends in Agent-Based Complex Automated Negotiations.

PDF DOI

Contact