Jonathan Fraine
Director of Engineering and Co-Head of Software Development at Wikimedia Deutschland e. V.- Claim this Profile
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Spanish Limited working proficiency
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Arabic Limited working proficiency
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Experience
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Wikimedia Deutschland e. V.
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Germany
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Technology, Information and Internet
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100 - 200 Employee
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Director of Engineering and Co-Head of Software Development
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Aug 2022 - Present
In concert with the Director of Product Development and Executive Directors, we lead the development for a constellation of exceptional and diverse teams of engineers, designers, community managers, and product managers. Our teams collaboratively design and develop open source products that intake, present, store, and process the plethora of free knowledge data at modern web scales. We design platforms and features to improve access to and retrieval of open knowledge and open data; while optimising for user experiences with all WikiMedia related tools and services. The engineering, product, communication, design, and research teams closely collaborate at WIkiMedia Deutschland in both Deutschland specific wiki operations and surrounding linked open data systems for the free enterprise of public knowledge. Some of our foci are language preservation, diversity team building in the knowledge economy, natural language processing, semantic and structured knowledge management, and system architecture optimisation. Show less
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Space Science Institute
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United States
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Research Services
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1 - 100 Employee
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Research Scientist
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Nov 2018 - Present
I am a data scientist working for the Space Science Institute Centers for Data Science and Extrasolar Planetary Systems. I apply machine learning and the data science workflow to astrophysical calibration and quality assurance pipelines. My projects focus on optimal extraction of information to from exoplanet atmospheres and infrared detectors. I apply machine learning to both image analysis and time series observations. The end goal of my projects are to maximally extract scientific information from 1000s of images simultaneously. I develop machine learning solutions for the Hubble, James Webb, Kepler, and TESS Space Telescopes. I also teach online learning seminars and data science boot camps to underrepresented communities. My research and consulting projects extensively involved with computer vision and remote sensing technologies. My research projects involved astrophysical source detection+measurement, space telescope calibration, as well as image and time series anomaly detection. Show less
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AssistMe
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France
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Individual and Family Services
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1 - 100 Employee
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Head of Engineering, Senior Data Scientist, Senior Cloud Engineer, Medical Lab Organiser
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Jul 2020 - Aug 2022
I am the Head of Engineering for AssistMe, a Medical IoT startup developing solutions to improve the lives of elderly residents and nurses in German care homes. Head of Engineering I maintain our project roadmaps, timelines, and oversee our Agile framework, including organising our milestones, goals, and teams' sprint goals and progress towards product increments & milestones. I help to facilitate the work of designers, engineers, regulatory, marketing, and contractors. Together we build devices, firmware, cloud database & analysis systems, frontend systems, and regulatory systems. I enjoy working in close contact with the entire team and help facilitate the entire technological development environment. Senior Data Scientist I design our test procedures and protocols for technology verification; Analyse the resulting data using a suite of statistical, time series, and machine learning algorithms; Document our data science analysis status and results; Maintain our ISO 13485 regulatory and quality management compliance for software development; and write regular reports for shareholders to maintain a transparent, technology development system; and developing our complete, end-to-end ML flow system from data creation, data manipulation, model testing, MLOps, and production operations. Senior Cloud Engineer I design, develop, and maintain our IoT cloud systems: In-stream, statistical analysis routines for cloud triggering logic; Machine learning algorithms development and deployment; Data dashboard frontend interface; Security procedures for our data api-servers and dashboards; Oversee the Business Logic cloud implementation; Document performance testing, security, and logging procedures for long-term stability; and maintain our device development testing environment. Show less
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City AI
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IT Services and IT Consulting
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1 - 100 Employee
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Technical Workshop Coordinator, Developer, and Educator
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Feb 2019 - Sep 2020
I volunteer with City.AI to develop and deploy online learning for data science seminars, workshops, bootcamps. We cover the full data science tool set: Python & R programming, artificial intelligence, machine learning, deep learning, data management, data processing, data visualization, and more. We have hosted dozens of workshops, both online and in person, provided by our team members and community volunteers. We have fostered an online community of hundreds of participants, volunteers, presenters, and developers. Furthermore, we created a fully remote operation using Slack, Trello, Twitter, Facebook, Instagram, WhatsApp, and Zoom to bring AI experts from around the world to communicate with and teach a widely diverse community. Moreover, our team is proud to have fostered the development of several AI start ups to solve local problems within our participants' communities. I collaborated with scientists in the Levant on sub-national economic indicators for the United Nations Sustainable Development Goals. I combined my science research using satellite observations with my drive to improve the lives of the average world citizen. We built our collaboration with economists and scientists in the Levant Region to develop models for economic indicators from Google Maps and the ESA Sentinel Satellite Network. I enjoy developing machine learning systems for both space and economic research. Show less
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Rassi Engineering
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India
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Appliances, Electrical, and Electronics Manufacturing
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1 - 100 Employee
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Computer Vision Engineer
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Aug 2019 - Feb 2020
As a remote consultant, I developed computer vision deep learning solutions for live (i.e. rapid) augmented reality applications for live, broadcast TV. Our applications include human pose estimation and 3D coordinate measurements from monocular and stereoscopic imaging. We are currently working with producers to deploy our new technologies for live broadcast on news and entertainment television. As a remote consultant, I developed computer vision deep learning solutions for live (i.e. rapid) augmented reality applications for live, broadcast TV. Our applications include human pose estimation and 3D coordinate measurements from monocular and stereoscopic imaging. We are currently working with producers to deploy our new technologies for live broadcast on news and entertainment television.
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Space Telescope Science Institute
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United States
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Research Services
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500 - 600 Employee
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Research Scientist
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Feb 2017 - Nov 2018
I am investigating and calibrating the full functionality of the NIRISS and NIRCam instruments for the James Webb Space Telescope (JWST). JWST is the next generation space telescope to supercede the Hubble Space Telescope (HST), which has revolutionized our understanding of the universe from the beginning of time to the beginning of humanity. By working with the JWST team before the launch (Spring 2019), I will optimize the instruments to study exoplanet atmospheres and probe the molecular abundances of the alien worlds. I develop machine learning solutions for the Hubble, James Webb, Kepler, and TESS Space Telescopes. I also teach online learning seminars and data science boot camps to underrepresented communities. My research and consulting projects extensively involved with computer vision and remote sensing technologies. My research projects involved astrophysical source detection + measurement, space telescope calibration, as well as image and time series anomaly detection. Show less
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The University of Arizona
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United States
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Higher Education
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500 - 600 Employee
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Postdoctoral Research Associate
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Sep 2015 - Feb 2017
I am applying machine learning to improve the full functionality of the NIRCam instrument for the James Webb Space Telescope (JWST). JWST is the next generation space telescope to supersede the Hubble Space Telescope (HST), which has revolutionized our understanding of the universe form the beginning of time to the beginning of humanity. By working with the NIRCam team before the JWST is launched (~March 2021), I will be able to assist in optimizing the instrument to study exoplanet atmospheres and probe the molecular abundances of the alien worlds. Show less
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University of Maryland
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United States
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Higher Education
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700 & Above Employee
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Ph.D. Candidate
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Aug 2009 - Aug 2015
I investigated the molecular abundances of exoplanet atmospheres to probe and understand the chemistry of these alien worlds. By using the largest telescopes on Earth and in space, I was able to discover the first detection of water vapour on a small planet outside of our Solar System. I investigated the molecular abundances of exoplanet atmospheres to probe and understand the chemistry of these alien worlds. By using the largest telescopes on Earth and in space, I was able to discover the first detection of water vapour on a small planet outside of our Solar System.
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University of Central Florida
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United States
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Higher Education
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700 & Above Employee
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Graduate Research Assistant
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Aug 2007 - May 2009
I developed mathematical algorithms to computational solve for exact solutions to numerical differential equations at specific nodal locations. This permitted us to precisely integrate differential equations at predefined or specific locations in the system. The applications range from quantum mechanics to stability of complex systems over time. I developed mathematical algorithms to computational solve for exact solutions to numerical differential equations at specific nodal locations. This permitted us to precisely integrate differential equations at predefined or specific locations in the system. The applications range from quantum mechanics to stability of complex systems over time.
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Education
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University of Maryland College Park
Doctor of Philosophy (PhD), Astronomy -
University of Maryland College Park
Master of Science (M.S.), Astronomy -
University of Central Florida
Master of Science (M.S.), Applied Mathematics -
University of Central Florida
Bachelor's degree, Theoretical and Mathematical Physics -
University of Central Florida
Bachelor's degree, Physics -
Edison Community College
Associate of Arts (A.A.), Philosophy