Philipp Maïno Email & Phone Number
Who is Philipp Maïno? Overview
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Philipp Maïno is listed as Quantitative Technologist at Qube Research & Technologies, a with 1687 employees, based in United Kingdom. AeroLeads shows a matched LinkedIn profile for Philipp Maïno.
Philipp Maïno previously worked as Principal Full Stack Developer at Mako Trading and Team Lead - Backoffice Development at Mako Trading. Philipp Maïno holds Diplom-Ingenieur (Dipl.Ing.), Electrical, Electronics And Communications Engineering, 1.9 from Technische Universität Kaiserslautern.
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About Philipp Maïno
Electrical power engineer by profession but passionate and experienced in software development. Autodidact with highly analytical and conceptual way of thinking.Co-developed a worldwide unique localisation method for topology faults in meshed local low-voltage grids based on Smart Meter data, as part of a research project funded by the German Federal Ministry of Economics and Energy .Subsequently secured an internship with a partnering energy company where I successfully designed and implemented a field test through which I was able to prove the functionality of the above localisation method.Implemented the localisation algorithm in a SCADA system and significantly improved load approximation of secondary substations through development and integration of a new approach while working for 1.5 years for an IT company specialising in Smart Grids.3 years experience in MATLAB, 1.5 years experience in Python, currently learning Django, JavaScript, CSS, HTML, jQuery and Bootstrap.
Listed skills include Matlab, Python, Java, Programming, and 13 others.
Philipp Maïno's current company
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Philipp Maïno work experience
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Principal Full Stack Developer
Team Lead - Backoffice Development
Current
Full Stack Developer
Python Developer
Operations Junior Developer
Student Employee
IDS GmbH is a supplier of information technology and IT services for the monitoring and controlling of infrastructure networks.My duties included the Implementation of a topology fault localisation algorithm, which was developed in cooperation with my previous employers, in a SCADA system. In order to do so I had to teach myself Java as well as Groovy and coordinate with different departments and colleagues of the company. I created a new User Interface and learned how to process data with Java, utilising for example the math3 library for linear interpolation.Furthermore I wrote my master thesis for IDS GmbH where I was able to significantly improve the load approximation of secondary substations through independent project development and integration of a new strategy. This required the collaboration with other companies, structuring and evaluation of the energy data of tens of thousands endusers, a creative approach to obtain additional grid information (i.e. through Google Earth) and resorting to Matlab, Java and Python.
Research Assistant
Upgrading MATLAB Toolbox to estimate load curves of unmeasured households
Trainee
SWK is a local distribution system operator of electricity, water and gas networks. This internship was part of a research project where I continued the work on the algorithm previously developed while my employment as research assistant.In order to integrate the localisation algorithm into the existing software of SWK I taught myself object-oriented coding in Python including data analysis and modelling with the packages “numpy” and “pandas”.Through designing and implementing a field test within a local low-voltage grid, which required interdisciplinary collaboration with project partners, I was able to verify the functionality of the localisation method.I learned fundamentals of project management and demonstrated my quick understanding of issues and application of solution expertise.
Research Assistant
Research Assistant at the faculty "Energy Systems and Energy Management" of the University of Kaiserslautern - Supervision of students performing experiments on an asynchronous machine within the laboratory for advanced power technology
Research Assistant
The Faculty for Energy Systems and Energy Management achieved excellence in education for electrical power engineering and conducts major research into the challenges of structural change in energy-systems.After I independently learned Matlab and demonstrated that I am able to structure and process extensive data packages throughout several assignments, I had the opportunity to co-develop a worldwide unique localisation method for topology faults in power grids. This was a major step towards including renewable energies and for example electric cars into our power grids.Subsequently I verified the algorithm with creative conceptual design based on synthetic data and made parameter studies possible through the development of a user interface.
Philipp Maïno education
Frequently asked questions about Philipp Maïno
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What company does Philipp Maïno work for?
Philipp Maïno works for Qube Research & Technologies.
What is Philipp Maïno's role at Qube Research & Technologies?
Philipp Maïno is listed as Quantitative Technologist at Qube Research & Technologies.
Where is Philipp Maïno based?
Philipp Maïno is based in United Kingdom while working with Qube Research & Technologies.
What companies has Philipp Maïno worked for?
Philipp Maïno has worked for Qube Research & Technologies, Mako Trading, Mako Global, Ids Gmbh Ein Unternehmen Der Ids-Gruppe, and Technische Universität Kaiserslautern.
How can I contact Philipp Maïno?
You can use AeroLeads to view verified contact signals for Philipp Maïno at Qube Research & Technologies, including work email, phone, and LinkedIn data when available.
What schools did Philipp Maïno attend?
Philipp Maïno holds Diplom-Ingenieur (Dipl.Ing.), Electrical, Electronics And Communications Engineering, 1.9 from Technische Universität Kaiserslautern.
What skills is Philipp Maïno known for?
Philipp Maïno is listed with skills including Matlab, Python, Java, Programming, Erneuerbare Energien, Datenanalyse, Research, and Html.
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