
Dmitri Gristsenko
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Dmitri Gristsenko
- Bis heute 4 Jahre und 7 Monate, seit Nov. 2020
Software Developer
QVC, Inc
- 1 Jahr und 10 Monate, Dez. 2018 - Sep. 2020
Senior Java Developer
Nortal GmbH
- 1 Jahr und 3 Monate, Okt. 2017 - Dez. 2018
Software Developer
Dynatrace Austria GmbH
Backend developer of a major performance monitoring SaaS product. My tasks mainly specialized in the area of inter-component communication protocols, scheduled processes and web service security.
- 2 Jahre und 5 Monate, Juni 2015 - Okt. 2017
Technical Solutions Engineer
Dynatrace Austria GmbH
Member of the product's technical support & consulting team, where I've helped customers maintain and analyze the performance of their software infrastructure. Daily work included: * Linux & Windows based server management * Configuration of web servers and Java Messaging Services(JMS) * Analysis of application logs * Analysis of application inter-component communication traces
- 3 Jahre und 1 Monat, Mai 2012 - Mai 2015
Software Engineer
Nortal
Worked on a major e-government project as a backend software engineer. Major challenges included: integration with other e-government services(authentication and sharing of personal data), bureaucratic process assistance and automation performance optimisation for high user load. Also worked in the R&D department on smaller projects: research and pilot projects for AngularJS adoption, employee productivity assistance, build automation and provided training on the use of the Mercurial SCM
- 11 Monate, Juli 2011 - Mai 2012
Software Engineer
Roosa Gepard Research & Development
Worked on a GPS traffic simulator, which had reproduced a car's journey across the map and simulated certain aspects of the environment(position of the sun, strength of wind, centrifugal force).
Ausbildung von Dmitri Gristsenko
- 2 Jahre und 1 Monat, Sep. 2016 - Sep. 2018
Human Centred Computing
FH Oberösterreich, Hagenberg
Covered topics include: User Experience research, systems simulation(Matlab), Machine Learning. For the Master's thesis I've researched the application of Machine Learning methods for change point detection in system's monitoring time series data
- 3 Jahre und 1 Monat, Sep. 2011 - Sep. 2014
Computer Engineering
University of Tartu
For the Bachelor's Thesis, I've designed and implemented the Bluetooth communication module and an Android App(for data payload debugging and pressure layout visualization proof-of-concept) for a Smart shoe-insole project
Sprachen
Deutsch
Gut
Englisch
Fließend
Russisch
Fließend
Estonian
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