Soren v Solari, Machine Learning Developer in Lafayette, CA, United States
Soren v Solari

Machine Learning Developer in Lafayette, CA, United States

Member since January 24, 2019
Soren specializes in solving real-world hard problems with all types of algorithms—this includes problem formulation, architecture, modeling, data organization/cleaning, deployment, and production. He loves bringing his creativity to problems and also in teaching and learning. In his career, Soren's developed product solutions for Fortune 1000 companies and patented non-linear predictive algorithms as well as building brains in computers.
Soren is now available for hire



  • Machine Learning, 17 years
  • Artificial Intelligence (AI), 17 years
  • Python 3, 11 years


Lafayette, CA, United States



Preferred Environment

Python 3.5+

The most amazing...

...thing I've built was a new patented non-linear predictive model to predict the price of cars at auction in real time.


  • Contract Developer

    2019 - PRESENT
    Large Healthcare Company
    • Developed predictive models for medical data coding in a revenue cycle.
    • Defined the problem while working with diverse teams to understand their workflows and to integrate the required solution.
    Technologies: Python
  • CTO

    2015 - PRESENT
    • Built a scalable Python microservices framework (combined with Docker) to deploy infinitely scalable microservices to AWS/ECS (code change to production in minutes); this includes continuous integration, logging, tracing, monitoring, load balancing, discovery, encryption, and low millisecond latencies.
    • Deployed and managed 25+ different microservices; worked with a scalable API, WebSockets, DNS, and more.
    • Developed all the technology for a revolutionary personalized health application which combined medical records, nutrition, activity, and arbitrary data. It ingested data and predictive models and recommendation engine.
    • Built an iPhone/Android app with a pixel-perfect design in Kivy.
    • Worked on everything from chatbots and WebSockets to new predictive models.
    • Worked on the full comprehensive landscape of personalized health.
    Technologies: Python 3.5+, Amazon Web Services (AWS), Kivy
  • Head of Analytics and Solution Architect

    2013 - 2015
    Nestlé Institute of Health Sciences
    • Invented and developed new nutrition analytics leveraged by Nestlé/Samsung partnership.
    • Built a real-time nutrition recommendation engine.
    • Developed bioinformatic models to integrate (genomics, proteomics, metabolomics, clinical data) for real clinical studies.
    • Helped design and develop the core analytic infrastructure for a large-scale research institute.
    Technologies: Python
  • CTO | CEO

    2011 - 2013
    • Contributed to the build of neuroanatomically-based systems (brains in computers) along with the relevant infrastructure.
    • Leveraged my PhD research on understanding how the brain works into a patent on building human brains in computers.
    Technologies: Python
  • Senior Analytics Manager

    2009 - 2013
    Opera Solutions
    • Designed custom models (linear and non-linear) for multiple Fortune 1000 companies; this involved rewards recommendations, medical hospital visit revenue predictions, vehicle auction models, and more.
    • Invented a new type of generalized predictive adaptive non-linear model combining a Kalman filter with K-NN and also built and deployed the model to production. It requires near 0 maintenance for the past eight years with continuous best in class predictions.
    • Worked as a solution architect to both understand and formulate problems as well as develop rapid prototypes on the initial data.
    Technologies: Python


  • Cognitive Consilience (Other amazing things)

    Based on my PhD research, I developed the most comprehensive blueprint of neuroanatomical connectivity in the primate brain with a hypothesis concerning the functions of all the major structures in the brain.

    This may be the first scientific publication published simultaneously with an interactive web app, iPhone, and iPad app.

    An example of solving a fairly difficult problem: "How does the brain work?"


  • Languages

    Python 3, Python 2, C
  • Other

    Machine Learning, Algorithms, Artificial Intelligence (AI), Analytics, APIs, Big Data
  • Libraries/APIs

    NumPy, TensorFlow, Python Asyncio
  • Tools

  • Paradigms

    Microservices Architecture, Parallel Programming
  • Platforms

    Docker, AWS EC2


  • PhD degree in Integrative Neuroscience
    2005 - 2009
    UCSD | University of California, San Diego - San Diego, CA, USA
  • Master's degree in Control Theory
    2002 - 2005
    UCSD | University of California, San Diego - San Diego, CA, USA
  • Dual bachelor's degrees (BSc/BA) in Electrical Engineering
    1995 - 1999
    University of San Diego - San Diego, CA, USA

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