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Work Background
Software Programmer (Volunteer)
Transparency International SlovakiaSoftware Programmer (Volunteer)
May. 2022Bratislava, SlovakiaDeveloped and implemented web scrapers to aggregate and visualize data from transparent bank accounts for political campaigns. The resulting data is publicly accessible on volby.transparency.sk, enabling voters to make informed decisions about the financing and spending of political candidates. Created comprehensive datasets by extracting and verifying data from multiple publicly available government sources. Conducted thorough data consistency checks to ensure accuracy and reliability, facilitating subsequent analysis by other data analysts.
Founder
VitreousFounder
Apr. 2022Paris, Île-de-France, FranceFounded Vitreous which helps you raise funds and build trust with your donors through transparency. It's built on the Stellar blockchain and received funding from the Stellar Community Fund.
Software Programmer
Software Programmer
May. 2021 - Apr. 2022Gained knowledge of blockchain technology through hands-on experience with the Stellar blockchain. Developed and launched two small projects utilizing Stellar's capabilities, including building a wallet exchange and creating randomly generated NFTs with Stellar L2 smart contracts known as Turrets. Engaged in algorithmic trading and market making, applying advanced trading strategies to optimize performance and understand the dynamics of cryptocurrency markets.
Data Scientist
Uber.BizData Scientist
Dec. 2019 - Jan. 2020Sydney, New South Wales, AustraliaDec 2019 - Jan 2020: Real-time face detection and recognition deployed on iOS. Aug 2018 - Sep 2018: Implemented real-time car license plate detection for Android devices. May 2016 - Sep 2016: Created safety and emergency management software components, utilizing environmental inputs to drive workflows. Delivered proof-of-concept applications for OSX, Windows, iOS, and Android.
Data Scientist
PandaScoreData Scientist
Mar. 2017 - Dec. 2020Paris Area, FranceDeveloped and Deployed Prediction Models: Conceptualized and implemented advanced machine learning models to predict the outcomes of professional e-sports matches. These models analyzed historical data and real-time statistics to provide accurate and reliable predictions. Algorithm Optimization: Continuously refined and optimized prediction algorithms to improve accuracy and efficiency. Collaborative Projects: Worked closely with a team of data scientists who were developing real-time computer vision models to provide data for the predictive models. Integrated these models into the company's platform to ensure seamless functionality. Impact on Business: Supported the company in gaining a competitive edge in the e-sports analytics and offer an innovative product to its customers. Research and Development: Conducted research to explore new methodologies and technologies that could be leveraged to further improve predictive capabilities.
Frontend Developer
min60Frontend Developer
Aug. 2014 - Apr. 2015Bratislava, SlovakiaBuilding a pixel perfect GUI with custom elements and animations for a macOS application called Fontstand.
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