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Enterprise Solution Architect To Deliver Your Software Solution

Use our vetted network of technology leaders to help you transform your business software.

  • Open Source
  • Data Engineering & MLOps
  • Algorithms/AI/ML
  • Visualization & Dashboarding
  • Packaging & Environment Management
  • Databases
  • Infrastructure, Scaling, & Acceleration
  • Cloud
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Enterprise solution Architects Work With Experienced Technology Leaders

Personal Info

I build software that makes it easy for scientists, engineers, and anyone else dealing with data, to take their domain expertise and utilize the computer as a general purpose tool for helping them make progress. I enjoy taking concepts and seeing them to production by marshaling resources and people. I enjoy customer-facing relationship and partner building, simplifying complex ideas with programming, product-development, and doing all things related to building a software businesses.

Experience

  • 2022

    CEO, OpenTeams
  • 2022

    CEO, Quansight
  • 2021

    Strategic Advisor, Bodo
  • 2019

    Strategic Advisor, Saturn Cloud
  • 2021

    Founder & CEO, Anaconda
  • 2014

    Founder & Chair, NumFOCUS
  • 2012

    President, Enthought
  • 2007

    Assistant Professor, BYU
Travis-Oliphant

Travis Oliphant

Founder of Anaconda, NumFOCUS and PyData. Creator of NumPy, SciPy, and Numba

Education

Ph.D., Biomeidcal Engineering from Mayo Clinic Graduate School of Biomedical Science

M.S., Electrical and Computer Engineering, Brigham Young University

B.S., Electrical and Computer Engineering, Brigham Young University

B.S., Mathematics, Brigham Young University

Technical Skills

  • Python
  • Programming
  • Software Development
  • Image Processing
  • C++
  • Machine Learning
  • Scientific Computing
  • Open Source
  • Enterprise Software
  • Fortran

Choose The Right Architect For Your Project

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Our network offers a deep bench of enterprise solution architects that can help you develop innovative software solutions.

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Getting Started Is Simple

01 Contact.

Contact our team and give us some high-level descriptions and motivations for your project goals.

02 Select.

We introduce you to an architect from our vetted network of enterprise solution architects ready to help you with your project. We will work with you and the ESA to build the team you need from our combined networks.

03 Get Started.

Get started right away. We manage everything with one contract and ensure you are completely satisfied with the results. Pay us and we pay them.

Customer SUCCESS

Accelerating Digital Transformation

Technology Meta

OpenTeams Enterprise Solution Architect started with a small team of one full-time engineer and two part-time engineers working one day a week. The part-time engineers both had extensive prior experience in the probabilistic programming space. Over the last year, as a result of helping Meta achieve their goals, the ESA grew the team to allow the part-time engineers to move to half-time. The scope also increased beyond writing documentation and tutorials to include adding major software features.

Technologies Used

  • PyTorch
  • Bean Machine
  • ArviZ

Energy Global Energy Company

OpenTeams’ Enterprise Solution Architects installed a data science platform (Nebari) that provided shared, scalable compute, and storage across all teams. They created a pipelining solution to demonstrate best practices in MLOps for all of their teams to adopt, including automated data ingest and validation, model training, and dashboards to reduce errors, provide monitoring, and make model experimentation easy.

Technologies Used

  • Nebari
  • Prefect
  • ClearML
  • PyTorch
  • Pandas
  • Statsmodels
  • Scikit-Learn

FINTECH A Top Five Financial Institution

OpenTeams Enterprise Solution Architect updated their risk model to run on Python and utilize fast numerical libraries like NumPy and Numba. The ESA also moved the model to a high-performance deployment on computation clusters using PySpark.

Technologies Used

  • NumPy
  • Numba
  • Spark

Government Armed Services

OpenTeams’ Enterprise Solution Architects introduced machine learning capability to the simulation by building a Python API and an MLOps pipeline that built reinforcement learning models. Reinforcement learning models exhibit autonomous behavior that allow simulation entities to adapt to complex situations, even if the human operator has not anticipated the situations. These models are exploratory and often find novel strategies that the human operator did not imagine.

Technologies Used

  • PyTorch
  • GeoPy
  • Jupyterlab
  • Python
  • Stable-Baselines3
  • PyMongo

MANUFACTURING Global Battery Company

OpenTeams Enterprise Solution Architect built a data pipeline to connect the machines and CRMs. They centralized the data and built dashboards and tools to help the engineers monitor and control the assembly line.

Technologies Used

  • Panel
  • HoloViews
  • Prefect
  • SQL Alchemy
  • Pandas

Technology Meta

OpenTeams Enterprise Solution Architect was hired by Meta to lead a small team of three part-time engineers who had experience on similar projects, such as NumPy and SciPy. Over the last three years, as a result of achieving Metas goals, the ESA grew the team to 15+ people dedicated to PyTorch development.

Technologies Used

  • PyTorch
  • Tourchvision
  • Functorch

TELECOM Geospatial Company

OpenTeams Enterprise Solution Architect built an open source, cloud-based data science platform to allow them to scale their work, including a stable, reliable, automated workflow to preprocess new data each day, algorithms to feed various data sources into a single dataset, and algorithms to analyze the data according to their customers’ needs.

Technologies Used

  • Pandas
  • Dask
  • HoloViews
  • GeoViews
  • GeoPandas
  • SpatialPandas

HEALTHCARE Medical Supply Company

OpenTeams Enterprise Solution Architect converted the model to a Python package with an automated workflow that included a test suite, data validation, and report generation. The ESA and his team built a web-based platform with authentication and data input framework. Additionally, the team built tools that allowed technicians to draw on images of the building architectural drawings as part of the data input which allowed them to easily go from room to room. These were also used for automatic report generation.

Technologies Used

  • Pandas
  • Panel
  • HoloViews
  • Flask
  • Jinja
  • Ansible
  • Docker
  • Bokeh

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