Claudiu Popescu PH.D
A software engineer and researcher with 10 years of work experience. Last 8 years I worked mainly in the area of machine learning.
The focus of my research in recent years was mostly on designing and analyzing machine learning algorithms.
Especially interested in algorithms and methods that have a solid theoretical foundation, while also solving real-world problems.
As a software engineer, I worked on a wide variety of projects. They range from standard machine learning projects consisting of gathering and cleaning the data, and training a model using some library or framework, to very complex projects involving the design and implementation of new algorithms for the specific tasks.
Machine learning/scientific computing/analytics frameworks/libraries:
PyTorch, TensorFlow, Keras, NumPy, SciPy, Scikit-learn, Pandas, Spark MLib, Spark GraphX , Scala Breeze,ML.NET, Matlab toolboxes for statistics , machine learning and signal processing
Natural language processing frameworks/libraries:
NLTK, Flair NLP, SpaCy, GensimBig data frameworks/libraries/tools:Spark, Hadoop, Google Big Query
Database management systems:
SQL Server, PostgreSQL, Azure Storage, MongoCloud computing:AWS, Azure
Containerization and orchestration:
MACHINE LEARNING ENGINEER, CONTRACTOR, 2022 - present
Designing and implementing machine learning algorithms and systems
MACHINE LEARNING SOFTWARE ENGINEER, CONNATIX, 2020 - 2022
I was involved in the design, implementation and deployment of multiple natural language processing and machine learning-based features and products.
Most of my work was on the Deep Contextual engine (https://www.connatix.com/deep-contextual)
Main technologies used: PyTorch, TensorFlow, scikit-learn, spaCy, flairNLP
MACHINE LEARNING SOFTWARE ENGINEER, RUBRIKK GROUP, 2018 - 2020
A machine learning price prediction model (and REST API) for used cars. Developed in C# using ML.NET. Statistical computations over large datasets of property and cars classifieds using Google Big Query and different statistical methods and algorithms (isotonic regression, smoothing etc.)
SOFTWARE ENGINEER, MICROFOCUS, 2017 - 2018
Contributed to Server Automation and Data Center Automation software suites. Development was mostly in Python.
BIG DATA/MACHINE LEARNING SOFTWARE ENGINEER, IQUEST TECHNOLOGIES, 2015 - 2017
- Python framework for rapid development of scalable distributed applications on top of Amazon Web Services.
- Python application for relevant terms extraction from streaming text data using the TF-IDF technique (implemented using Numpy for numerical computation and NLTK for preprocessing).
- Scala application for topics extraction and summarization of documents, based on Spark.
SOFTWARE ENGINEER, AROBS TRANSILVANIA SOFTWARE, 2012 - 2015
Programming in ANSI C for automotive embedded systems.