Horia Mărgărit, Machine Learning Developer in San Jose, CA, United States
Horia Mărgărit

Machine Learning Developer in San Jose, CA, United States

Member since November 10, 2021
Horia's industry experience extends across digital health, consumer finance, internet search, engineering software, and transportation logistics. He has over 10 years of expertise applying AI methods and approaches to tackle businesses problems. Horia's predictions for business applications of AI have been featured in CIO magazine and Forbes. He earned a master of science degree in statistics at Stanford University and two BAs specializing in cognitive and computer science at UC Berkeley.
Horia is now available for hire

Portfolio

  • Antares Audio Technologies
    Sequence Models, Explainable Artificial Intelligence (XAI), Deep Learning...
  • Booster
    Time Series Analysis, Sequence Models, Time Series, Demand Planning...
  • Stanford University
    Health, Psychology & Mental Health, Cognitive Behavioral Therapy (CBT)...

Experience

  • Deep Learning 11 years
  • Explainable Artificial Intelligence (XAI) 7 years
  • Cognitive Computing 5 years
  • Cognitive Science 5 years
  • Psychology & Mental Health 3 years
  • Cognitive Behavioral Therapy (CBT) 3 years
  • Multi-task Learning 2 years
  • Meta Learning 2 years

Location

San Jose, CA, United States

Availability

Part-time

Preferred Environment

Linux, Jupyter Notebook

The most amazing...

...thing I've developed is an AI system for personalized behavioral health treatment. It was published in the IEEE journal. It won an honorable mention at ACM CHI.

Employment

  • Consultant | Artificial Intelligence

    2021 - 2021
    Antares Audio Technologies
    • Designed, implemented, and deployed two deep learning sequence models. Both models leveraged state-of-the-art (SOTA) mechanisms, such as shift operations as replacements for convolutions and masked self-attention as replacements for recurrence.
    • Ensured each of the two sequence models was interpretable and explainable to my two business stakeholders; the CMO and the COO.
    • Coordinated with their software engineers how to integrate the two sequence models into their automated business processing pipelines.
    • Coached the CMO and the COO on how to best consume the forecasts and the automatically generated explanations for their downstream automated business processes.
    Technologies: Sequence Models, Explainable Artificial Intelligence (XAI), Deep Learning, Artificial Intelligence (AI), Time Series Analysis, Interpretable Machine Learning
  • Director | Data Science

    2019 - 2020
    Booster
    • Built their data team of four engineers. My team was horizontally integrated and served the needs of all other business units. My three business stakeholders were the CFO, the CMO, and the CPO.
    • Oversaw the creation of the company's business intelligence queries and dashboards and managed its quality assurance.
    • Participated in the design, implementation, and deployment of their demand forecasting systems for their B2B and B2C customer segments.
    • Participated in the experimental design and analysis for pricing elasticity and demand response to pricing changes.
    • Participated in the experimental design and analysis for marketing conversion and customer engagement with referral programs.
    • Performed supply-side pricing analysis and informed executive stakeholders throughout multiple contract negotiations with Fortune 100 enterprises.
    • Analyzed the quality and the efficiency gains of their proprietary vehicle routing software.
    • Managed the data science support of their engineering efforts, including data modeling and analytics for their proprietary IoT platform.
    Technologies: Time Series Analysis, Sequence Models, Time Series, Demand Planning, Pricing Models, Pricing, Business Intelligence (BI), Experimental Analysis, Internet of Things (IoT), Industrial Internet of Things (IIoT)
  • Consultant | Artificial Intelligence

    2018 - 2020
    Stanford University
    • Co-developed novel AI applications for personalized behavioral health treatments.
    • Took part in the work that was published in the peer-reviewed IEEE scientific journal.
    • Developed an AI system for personalized behavioral health treatment that was awarded an honorable mention in the peer-reviewed ACM CHI20 scientific conference.
    Technologies: Health, Psychology & Mental Health, Cognitive Behavioral Therapy (CBT), Behavioral Science
  • Manager | Data Science

    2017 - 2019
    Autodesk
    • Managed six machine learning engineers to create, deploy, and maintain three production systems in an Apache Spark powered data platform.
    • Participated in the design, implementation, and deployment of their enterprise's customer churn rate forecaster.
    • Contributed to the design, implementation, and deployment of the enterprise's sales recommendation system.
    • Collaborated with the design, implementation, and deployment of the enterprise's software piracy detection system.
    Technologies: Generative Design, Generative Adversarial Networks (GANs), Deep Learning, Machine Learning, Explainable Artificial Intelligence (XAI), Adversarial Learning, Recommendation Systems, Spark ML, Spark SQL, Apache Spark
  • Consultant | Artificial Intelligence

    2017 - 2017
    Qubole
    • Defined machine learning consulting offers for their B2B professional services division. My business' stakeholder was their senior vice president of professional services.
    • Implemented, deployed, and marketed two deep learning solutions for drug discovery. These solutions helped them land their first contracts with publicly listed pharmaceutical companies.
    • Improved their platform by demonstrating artificial intelligence solutions at large conferences, such as Strata and PyData.
    • Worked on the platform by accurately predicting trends at the intersection of big data and AI and ML during interviews with CIO magazine and Forbes.
    • Helped them win contracts with publicly listed banking and finance companies by providing deep learning and machine learning consultations with prospect clients.
    Technologies: Spark ML, Spark SQL, Apache Spark, Artificial Neural Networks (ANN), Keras, TensorFlow, Big Data, BigDL, Intel BigDL, Amazon SageMaker

Experience

  • Artificial Intelligence for Behavioral Therapy
    https://www.stanforddaily.com/2019/10/21/researchers-work-on-device-to-help-individuals-with-autism-handle-stress/

    Innovated in applied psychology by leveraging interpretable and explainable AI and ML to tackle emotional dysregulation, such as anxiety and panic attacks.

    Our work was featured in Stanford magazine. Feel free to read the interview in the link provided.

    Our work was also awarded at the peer-reviewed scientific conference ACM CHI20, and the US government granted us additional funding to continue our efforts.

    Said grant money helped us develop the project further and subsequently publish in the peer-reviewed scientific journal IEEE.

Skills

  • Languages

    Python 3, Python, Julia, R, Scala, Java, JavaScript, TypeScript
  • Libraries/APIs

    Spark ML, Keras, TensorFlow, PyTorch
  • Paradigms

    Data Science, Business Intelligence (BI)
  • Platforms

    Jupyter Notebook, Linux
  • Other

    Deep Learning, Experimental Design, Artificial Intelligence (AI), Machine Learning, Explainable Artificial Intelligence (XAI), Causal Inference, Artificial Neural Networks (ANN), Recommendation Systems, Time Series Analysis, Sequence Models, Time Series, Experimental Analysis, Interpretable Machine Learning, Cognitive Computing, Cognitive Psychology, Cognitive Science, Experimental Research, Natural Language Processing (NLP), Natural Language Understanding (NLU), Stochastic Differential Equations, Stochastic Modeling, Deep Reinforcement Learning, Reinforcement Learning, Meta Learning, Multi-task Learning, Psychology & Mental Health, Cognitive Behavioral Therapy (CBT), Behavioral Science, Computer Vision, Machine Vision, Probabilistic Graphical Models, Generative Design, Generative Adversarial Networks (GANs), Adversarial Learning, Demand Planning, Pricing Models, Pricing, Internet of Things (IoT), Industrial Internet of Things (IIoT), Big Data, BigDL, Intel BigDL, Health
  • Frameworks

    Apache Spark
  • Tools

    Spark SQL, Amazon SageMaker

Education

  • Master's Degree in Statistics
    2015 - 2017
    Stanford University - Stanford, California, USA
  • Bachelor's Degree in Computer Science
    2008 - 2011
    University of California, Berkeley - Berkeley, California, USA
  • Bachelor's Degree in Cognitive Science
    2008 - 2011
    University of California, Berkeley - Berkeley, California, USA

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