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

Verified Expert  in Engineering

Machine Learning Developer

Location
San Jose, CA, United States
Toptal Member Since
November 16, 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.

Portfolio

Womanium Quantum
Quantum Computing, Quantum Circuits, Quantum Machine Learning...
PepsiCo
Data Science, Leadership, Machine Learning, Software Architecture...
Antares Audio Technologies
Sequence Models, Explainable Artificial Intelligence (XAI), Deep Learning...

Experience

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.

Work Experience

Engineer | Quantum Applications

2023 - PRESENT
Womanium Quantum
  • Worked confidentially for a US national research lab.
  • Developed a suite of quantum applications that solve engineering problems using quantum technologies.
  • Tested and deployed those quantum applications to a real quantum computer with more than 100 qubits.
Technologies: Quantum Computing, Quantum Circuits, Quantum Machine Learning, Quantum Approximate Optimization Algorithm (QAOA), Variational Quantum Eigensolver (VQE), Variational Quantum Linear Solver (VQLS), Quantum Information, Algorithms, Computational Algorithms, AI Programming, Physics, Neural Networks, Modeling, Statistical Analysis, Regression Modeling, Statistical Modeling, Data Analysis, AI Model Training, GitLab, Technical Leadership, Consulting, Mentorship & Coaching, Forecasting, Scikit-learn, Generative AI, Data Modeling

Director | Data Science

2022 - 2023
PepsiCo
  • Designed, fundraised for, and delivered three internal software products. Each product was measured and demonstrably increased brand reach and consumer product sales.
  • Coordinated across data engineering, product management, marketing brand directors, and internal customer success managers to ensure smooth maintenance and operations of all three delivered software products.
  • Restructured three geographically siloed teams and performance-managed them. Retention was 90% throughout the restructuring and stayed at that level throughout my engagement.
  • Defined and hosted tech talks and tech demo presentations on an alternating biweekly cadence. Provided stakeholders with visibility into the individual contributors of my group. Ensured cross-functional collaboration with other groups.
Technologies: Data Science, Leadership, Machine Learning, Software Architecture, Performance Management, Software Design, Deep Learning, Spark ML, Stakeholder Management, Product Management, Feature Prioritization, Project Budget Management, Annual Budgets, Budget Management, Artificial Intelligence (AI), Product Planning, Product Roadmaps, Unsupervised Learning, Keras, TensorFlow, PyTorch, MXNet, Docker, Flask, FastAPI, Behavioral Science, Experimental Design, Bayesian Inference & Modeling, Docker Compose, Probability Theory, Predictive Modeling, Predictive Analytics, Data Analytics, Large Data Sets, IT Consulting, Data, Data Visualization, Market Research, Business Consulting, Data Scientist, AI Programming, Neural Networks, Machine Learning Operations (MLOps), Modeling, Statistical Analysis, Regression Modeling, Statistical Modeling, Data Analysis, AI Model Training, Technical Leadership, Consulting, Mentorship & Coaching, Forecasting, Scikit-learn, NoSQL, OpenAI, Generative AI, Data Modeling, Generative Artificial Intelligence (GenAI), LoRa, Hugging Face, Consumer Packaged Goods (CPG), SQL, XGBoost, LightGBM, Databricks

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, Machine Learning, Probability Theory, Predictive Modeling, Predictive Analytics, Data Analytics, Large Data Sets, IT Consulting, Data, Data Visualization, Data Scientist, AI Programming, Generative Pre-trained Transformers (GPT), Large Language Models (LLMs), Neural Networks, Modeling, Statistical Analysis, Regression Modeling, Statistical Modeling, Data Analysis, Audio, AI Model Training, GitLab, Technical Leadership, Consulting, Forecasting, Scikit-learn, OpenAI, Generative AI, Data Modeling, Natural Language Processing (NLP), Generative Artificial Intelligence (GenAI), LoRa, Hugging Face, SQL, XGBoost, LightGBM, Databricks

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 Research, Internet of Things (IoT), Industrial Internet of Things (IIoT), Probability Theory, Predictive Modeling, Predictive Analytics, Data Analytics, Large Data Sets, Data, Data Visualization, Market Research, Business Consulting, Data Scientist, AI Programming, Neural Networks, Machine Learning Operations (MLOps), Modeling, Statistical Analysis, Regression Modeling, Statistical Modeling, Data Analysis, AI Model Training, Technical Leadership, Mentorship & Coaching, Forecasting, Scikit-learn, NoSQL, Data Modeling, SQL, XGBoost, LightGBM, Databricks

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, Probability Theory, Predictive Modeling, Predictive Analytics, Data Analytics, Large Data Sets, Data, Data Visualization, Market Research, Data Scientist, AI Programming, Neural Networks, Modeling, R, Statistical Analysis, Regression Modeling, Statistical Modeling, Data Analysis, Audio, AI Model Training, GitLab, Technical Leadership, Consulting, Mentorship & Coaching, Forecasting, Scikit-learn, Data Modeling, XGBoost, LightGBM, Databricks

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 Machine Learning, Recommendation Systems, Spark ML, Spark SQL, Apache Spark, Probability Theory, Predictive Modeling, Predictive Analytics, Data Analytics, Large Data Sets, Data, Data Visualization, Business Consulting, Data Scientist, AI Programming, Physics, Generative Pre-trained Transformers (GPT), Large Language Models (LLMs), Neural Networks, Machine Learning Operations (MLOps), Modeling, Statistical Analysis, Regression Modeling, Statistical Modeling, Data Analysis, AI Model Training, Technical Leadership, Mentorship & Coaching, Forecasting, Scikit-learn, NoSQL, Generative AI, Data Modeling, Generative Artificial Intelligence (GenAI), SQL, XGBoost, LightGBM, Databricks

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, Amazon SageMaker, Probability Theory, Predictive Modeling, Predictive Analytics, Data Analytics, Large Data Sets, Data, Data Visualization, Market Research, Data Scientist, AI Programming, Neural Networks, Machine Learning Operations (MLOps), Modeling, Statistical Analysis, Regression Modeling, Statistical Modeling, Data Analysis, AI Model Training, GitLab, Technical Leadership, Consulting, Forecasting, Scikit-learn, NoSQL, Data Modeling, Generative Artificial Intelligence (GenAI), XGBoost, LightGBM, Databricks

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.
2015 - 2017

Master's Degree in Statistics

Stanford University - Stanford, California, USA

2008 - 2011

Bachelor's Degree in Computer Science

University of California, Berkeley - Berkeley, California, USA

2008 - 2011

Bachelor's Degree in Cognitive Science

University of California, Berkeley - Berkeley, California, USA

Libraries/APIs

Spark ML, Keras, Scikit-learn, XGBoost, TensorFlow, PyTorch

Tools

GitLab, Spark SQL, Amazon SageMaker, Docker Compose

Frameworks

LightGBM, Apache Spark, MXNet, Flask

Paradigms

Data Science, Business Intelligence (BI)

Languages

Python 3, Python, Julia, R, SQL, Scala, Java, JavaScript, TypeScript, Bash Script

Platforms

Jupyter Notebook, Databricks, Linux, Docker

Storage

NoSQL

Other

Deep Learning, Experimental Design, Natural Language Processing (NLP), Artificial Intelligence (AI), Machine Learning, Explainable Artificial Intelligence (XAI), Causal Inference, Artificial Neural Networks (ANN), Recommendation Systems, Time Series Analysis, Sequence Models, Time Series, Generative Pre-trained Transformers (GPT), Probability Theory, Predictive Modeling, Predictive Analytics, Data Analytics, Large Data Sets, Data, Data Visualization, Market Research, Algorithms, Data Scientist, AI Programming, Large Language Models (LLMs), Neural Networks, Machine Learning Operations (MLOps), Modeling, Statistical Analysis, Regression Modeling, Statistical Modeling, Data Analysis, AI Model Training, Technical Leadership, Consulting, Mentorship & Coaching, Forecasting, OpenAI, Generative AI, Data Modeling, Generative Artificial Intelligence (GenAI), LoRa, Hugging Face, Cognitive Computing, Cognitive Psychology, Cognitive Science, Experimental Research, 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, IT Consulting, Business Consulting, Computational Algorithms, Physics, Audio, Finance, Consumer Packaged Goods (CPG), Computer Vision, Machine Vision, Probabilistic Graphical Models, Generative Design, Generative Adversarial Networks (GANs), Adversarial Machine Learning, Demand Planning, Pricing Models, Pricing, Internet of Things (IoT), Industrial Internet of Things (IIoT), Big Data, BigDL, Health, Leadership, Software Architecture, Performance Management, Software Design, Stakeholder Management, Product Management, Feature Prioritization, Project Budget Management, Annual Budgets, Budget Management, Product Planning, Product Roadmaps, Unsupervised Learning, FastAPI, Bayesian Inference & Modeling, Quantum Computing, Quantum Circuits, Quantum Machine Learning, Quantum Approximate Optimization Algorithm (QAOA), Variational Quantum Eigensolver (VQE), Variational Quantum Linear Solver (VQLS), Quantum Information

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