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Co-Founder and Chief Scientist at Lumenova AI
AI is analyzing your overall score…
Identifying your key strengths…
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.