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Educational software on string pattern matching algorithms.

• Runs the KMP algorithm step by step and evaluates student understanding.
• Acquired by SIVECO Romania, showcased at the Online Educa Berlin global conference.
• Integrated in the national Advanced e-Learning platform of the Ministry of Education.

Vlad Manea, Vlad Tudose, Andrei Albeșteanu, prof. Emanuela Cerchez, prof. Marinel Șerban.

First prize, SIVECO Cup national contest in educational software (20 finalist projects).

Technologies: flash, actionscript.

Habitlab iOS app for habit formation

.campion educational archive

KMP algorithm educational software

Software developer and PhD fellow in computer science. Working at the intersection of several fields: ubiquitous computing, mobile health, statistics, and machine learning.

I take an entrepreneurial and scientific approach to research, design, and development from industry to academia, from tech giants, to early startups, and community organizations.

• Industry: software engineering at Alipes, Amazon, Google, and Microsoft.
• Startups: habit management startup Habitlab and mental health startup Steps.
• Community: public speaking and leadership Toastmasters clubs in three languages.
• Academia: research and degrees from the Universities of Copenhagen and Iasi.

Open for software engineering and data science opportunities after my PhD (expected end of 2020).

KMP algorithm educational software

KMP algorithm educational software

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