Co-Founder and Chief Scientist at Lumenova AI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
The University of Bonn
Master of Science (MS), Computer Science
January 1, 2011 – January 1, 2013
University POLITEHNICA of Bucharest
Bachelor of Science (BS), Computer Science
January 1, 2007 – January 1, 2011
Lumenova AI
Co-Founder / Chief Scientist
January 1, 2022 – Present
Sparktech Software
Machine Learning Engineer
April 1, 2014 – Present
Bucharest, Bucharest, Romania
Fraunhofer IAIS
Student Research Assistant
May 1, 2012 – November 1, 2013
Schloss Birlinghoven, Sankt Augustin, Germany
A Stochastic Approach to Automatic Composition of Music
January 1, 2013 – January 1, 2013
My Master’s Thesis investigates the automatic composition of music, both vocal line and rhythm, with the use of Markov Chains. I also proposed a method of assessing the performance of the algorithm by using principal component analysis and KNN. Language: Python, MusicXML, MIDI
Automatic Accompaniment Generation for a Given Melody
January 1, 2011 – January 1, 2011
My Bachelor’s Thesis consists of generating a suitable harmony, in the form of a chord progression, for a melody given as an input. I used Fast Fourier Transformation and Hidden Markov Models. Language: C#
Caloric Intake Tracker (Software Engineering lecture project)
January 1, 2010 – January 1, 2010
We developed a program for tracking caloric intake. Language: Java with Swing interface, XML, SQLite
Text Recognition from Maps
January 1, 2010 – January 1, 2010
I worked for three weeks on text recognition from high resolution maps based on neural networks. Language: C
Chess Application
January 1, 2009 – January 1, 2009
We developed a chess playing engine based on the Minimax algorithm with alpha beta pruning. Language: Java
Associate Cloud Engineer
June 24, 2026 – Present
ZEND Certified Engineer PHP 5
Perforce Zend
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience is heavily skewed towards Machine Learning and AI research and development. While this demonstrates strong analytical and problem-solving skills, the direct alignment with a 'Backend Engineer' role, which typically emphasizes scalable systems, APIs, databases, and distributed computing, is not explicitly demonstrated through projects or work experience. The projects are primarily academic or research-oriented, and professional roles are focused on ML. This suggests a potential gap in direct backend engineering experience, which might impact cultural fit for a pure backend role.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, indicating no data for evaluation.