Honorius Galmeanu

Background

About Honorius Galmeanu

machine learning engineer, designing neural network compiler optimizations; designed algorithms for training sparse neural networks, augmented Lagrangian methods using PyTorch framework; used statistical inference and machine learning models as a big data analyst, with SciPy and Weka; teaching basics of statistical inference in Python with SciPy; research and development engineer of knowledge graph based models with Blazegraph, R, Python; creating models with Python, Knime, Test Driven Development for product design in Java and C#; data analytics modelling for gas turbines; led a small team creating web applications for medical imaging with Java Spring Boot and MS/Oracle SQL.* tutoring students in statistical inference, machine-learning (neural networks), cloud computing, Java web applications and operating systems * in a former life, C/C++/Java Linux software engineer, JavaSE6 SCJP (OCPJP certified), Linux & Windows CE on STBs, project manager for European Union Integrated Project Games@Large (2006-2010) and led internal projects at Siemens Corporate Technology Brasov (PM@Siemens and IPMA certified project manager)* knowledgeable of MPEG-1/2/3/4/10, designed an MPEG-2 Video encoder, parsers, used codecs, designed demultiplexors and multiplexors for MPEG-2 TS, PhD in machine learning and applying techniques since, team coordination (AGILE), ML publications