Data Scientist and Software Engineer

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About Me

I’m a seasoned data scientist with extensive experience in statistical modeling, machine learning and big data analytics. As a computer scientist and applied mathematician by training, I thrive on working in cross-disciplinary teams and applying my knowledge to solve challenging and important problems.

My work involves developing metrics and methods to track long-term success of web services, to detect key drivers of user engagement and verify them rigorously through statistical analysis.
By understanding trends and usage patterns, my end goal is always to convert data into actionable insights to create meaningful products that truly serves the users, meets business goals and ultimately improves people’s lives.

My expertise is in:
♦ Data analysis techniques (computational mathematics, machine learning, information retrieval, graph mining, statistical analysis)
♦ Developing scalable platforms and interfaces to the data via APIs
♦ Ruby, Ruby on Rails, parallel computing (MPI) and GPU programming (CUDA)



  • Ronix LLC
    2015 - present

  • Evergive Inc
    2013 - 2015

    Leading a team of engineers and spearheading the product development of the Android, iOS and web application. Developing a fully scalable and distributed backend infrastructure from the ground up. Designing and implementing analytical tools to provide insights for the internal leadership team and external partners.

  • Stanford University
    2012 - 2014
    Research Assistant

    Received full 2 year funding from NVIDIA, under the CUDA Center of Excellence (CCOE) fellowship.

  • Stanford University
    2011 - 2012
    Research Assistant

    Full sponsorship by the Library of Congress under the Computational Approaches to Digital Stewardship (CADS) program.


  • Stanford University
    Computational and Mathematical Engineering (M.S.)

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

  • Delft University
    Computer Science (M.S.)

    Graduated with highest distinction.
    GPA: 9/10, ranked 1st in the Computer Science Department.
    Concentration: Artificial Intelligence and Machine Learning.

  • University of Amsterdam
    Computer Science (B.S.)

    Graduated with highest distinction.
    GPA: 9/10, ranked 2nd in the Computer Science and Electrical Engineering Department.

Programming Languages

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Other Skills

  • Machine Learning
    Artificial Intelligence
  • Large Scale Data Mining
    Numerical Linear Algebra
  • Graph Theory
    Partial Differential Equations

Contact Me

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  • 5042 Wilshire Blvd #34523, Los Angeles, CA 90036