Big Data Project Manager

• Dec 2015 - Present

Summary: over 300 billion documents, project manager and lead engineer of a Big Data platform (Multivac) with over 140 servers (+2000 core and 320TB storage) and a Cloud-based Hadoop cluster with 280TB of HDFS: - Principal AI/ML/NLP Engineer (Distributed NLP, TensorFlow, PyTorch, ONNX, Spark, etc.) - Lead Big data Engineer (Hadoop/Spark cluster with more than 260 billion data (Cloudera), search engine clusters (Elastic Stack) with more than 7 billion documents, DBA (MongoDB) with more… Show more Summary: over 300 billion documents, project manager and lead engineer of a Big Data platform (Multivac) with over 140 servers (+2000 core and 320TB storage) and a Cloud-based Hadoop cluster with 280TB of HDFS: - Principal AI/ML/NLP Engineer (Distributed NLP, TensorFlow, PyTorch, ONNX, Spark, etc.) - Lead Big data Engineer (Hadoop/Spark cluster with more than 260 billion data (Cloudera), search engine clusters (Elastic Stack) with more than 7 billion documents, DBA (MongoDB) with more than 16 billion documents, and Redis with over 500 million data, and full-stack developer) - Senior Cloud architect/engineer (AWS, Azure, OpenStack, and OpenNebula), - Project Manager of Multivac platform: https://multivacplatform.org/ - Network engineer, Linux/Windows system administrator, and information security officer (CSSI) Show less Summary: over 300 billion documents, project manager and lead engineer of a Big Data platform (Multivac) with over 140 servers (+2000 core and 320TB storage) and a Cloud-based Hadoop cluster with 280TB of HDFS: - Principal AI/ML/NLP Engineer (Distributed NLP, TensorFlow, PyTorch, ONNX, Spark, etc.) - Lead Big data Engineer (Hadoop/Spark cluster with more than 260 billion data (Cloudera), search engine clusters (Elastic Stack) with more than 7 billion documents, DBA (MongoDB) with more… Show more Summary: over 300 billion documents, project manager and lead engineer of a Big Data platform (Multivac) with over 140 servers (+2000 core and 320TB storage) and a Cloud-based Hadoop cluster with 280TB of HDFS: - Principal AI/ML/NLP Engineer (Distributed NLP, TensorFlow, PyTorch, ONNX, Spark, etc.) - Lead Big data Engineer (Hadoop/Spark cluster with more than 260 billion data (Cloudera), search engine clusters (Elastic Stack) with more than 7 billion documents, DBA (MongoDB) with more than 16 billion documents, and Redis with over 500 million data, and full-stack developer) - Senior Cloud architect/engineer (AWS, Azure, OpenStack, and OpenNebula), - Project Manager of Multivac platform: https://multivacplatform.org/ - Network engineer, Linux/Windows system administrator, and information security officer (CSSI) Show less

Principal AI/ML Engineer - Senior Team Lead

• Jan 2019 - Present

Principal AI / ML engineer and a senior Team Lead with over a decade-long experience in public research. I lead a team behind Spark NLP at John Snow Labs, one of the most widely used NLP libraries in the enterprise. I develop scalable NLP components using the latest techniques in deep learning and machine learning that includes classic ML, Language Models, Speech Recognition, and Computer Vision. I am an expert in designing, deploying, and maintaining ML and DL models in the JVM… Show more Principal AI / ML engineer and a senior Team Lead with over a decade-long experience in public research. I lead a team behind Spark NLP at John Snow Labs, one of the most widely used NLP libraries in the enterprise. I develop scalable NLP components using the latest techniques in deep learning and machine learning that includes classic ML, Language Models, Speech Recognition, and Computer Vision. I am an expert in designing, deploying, and maintaining ML and DL models in the JVM ecosystem and distributed computing engine (Apache Spark) at the production level. Spark NLP is the only open-source NLP library in production that offers state-of-the-art transformers such as BERT, CamemBERT, ALBERT, ELECTRA, XLNet, DistilBERT, RoBERTa, DeBERTa, XLM-RoBERTa, Longformer, ELMO, Universal Sentence Encoder, Google T5, MarianMT, GPT2, and Vision Transformers (ViT) not only to Python and R, but also to JVM ecosystem (Java, Scala, and Kotlin) at scale by extending Apache Spark natively. Show less Principal AI / ML engineer and a senior Team Lead with over a decade-long experience in public research. I lead a team behind Spark NLP at John Snow Labs, one of the most widely used NLP libraries in the enterprise. I develop scalable NLP components using the latest techniques in deep learning and machine learning that includes classic ML, Language Models, Speech Recognition, and Computer Vision. I am an expert in designing, deploying, and maintaining ML and DL models in the JVM… Show more Principal AI / ML engineer and a senior Team Lead with over a decade-long experience in public research. I lead a team behind Spark NLP at John Snow Labs, one of the most widely used NLP libraries in the enterprise. I develop scalable NLP components using the latest techniques in deep learning and machine learning that includes classic ML, Language Models, Speech Recognition, and Computer Vision. I am an expert in designing, deploying, and maintaining ML and DL models in the JVM ecosystem and distributed computing engine (Apache Spark) at the production level. Spark NLP is the only open-source NLP library in production that offers state-of-the-art transformers such as BERT, CamemBERT, ALBERT, ELECTRA, XLNet, DistilBERT, RoBERTa, DeBERTa, XLM-RoBERTa, Longformer, ELMO, Universal Sentence Encoder, Google T5, MarianMT, GPT2, and Vision Transformers (ViT) not only to Python and R, but also to JVM ecosystem (Java, Scala, and Kotlin) at scale by extending Apache Spark natively. Show less

Chef de projet Infrastructure

• Jun 2021 - Present

À ce jour, mes activités relèvent de la BAP E et correspondent à plusieurs emplois types : Chef de projet en Infrastructure (E1B42) et Chef de projet en Ingénierie logicielle (E1C43).

Administrateur des systèmes

• Dec 2015 - May 2022

Big Data Engineer and Full-stack Developer

• Sep 2014 - Dec 2015

Big Data Teacher

• Feb 2018 - Present

Big Data Platform & Data Analytics / NoSQL courses for Master students Syllabus highlights: NoSQL Course: Introduction to SQL databases, Introduction to NoSQL databases, Introduction to Key-Value Databases Introduction to Column-based Databases Introduction to Document-based Databases Introduction to Graph-based Databases NoSQL Workshop (Redis, MongoDB, Neo4j, and Elasticsearch) Big Data Course (Distributed Systems, Data Analytics, and Data… Show more Big Data Platform & Data Analytics / NoSQL courses for Master students Syllabus highlights: NoSQL Course: Introduction to SQL databases, Introduction to NoSQL databases, Introduction to Key-Value Databases Introduction to Column-based Databases Introduction to Document-based Databases Introduction to Graph-based Databases NoSQL Workshop (Redis, MongoDB, Neo4j, and Elasticsearch) Big Data Course (Distributed Systems, Data Analytics, and Data Visualizations) : Introduction to Big Data, Big Data Ethics and Security MapReduce, HDFS, and YARN Apache Hadoop Workshop (Cloudera) Apache Spark 2.2 (DataFrame, SQL, and ML) Apache Spark Workshop (Shell/Submit, IntelliJ, and Apache Zeppelin) Introduction to Machine Learning, Deep Learning, and Text Mining (Spark-NLP or Stanford CoreNLP) Big Data Analytics Workshop Show less Big Data Platform & Data Analytics / NoSQL courses for Master students Syllabus highlights: NoSQL Course: Introduction to SQL databases, Introduction to NoSQL databases, Introduction to Key-Value Databases Introduction to Column-based Databases Introduction to Document-based Databases Introduction to Graph-based Databases NoSQL Workshop (Redis, MongoDB, Neo4j, and Elasticsearch) Big Data Course (Distributed Systems, Data Analytics, and Data… Show more Big Data Platform & Data Analytics / NoSQL courses for Master students Syllabus highlights: NoSQL Course: Introduction to SQL databases, Introduction to NoSQL databases, Introduction to Key-Value Databases Introduction to Column-based Databases Introduction to Document-based Databases Introduction to Graph-based Databases NoSQL Workshop (Redis, MongoDB, Neo4j, and Elasticsearch) Big Data Course (Distributed Systems, Data Analytics, and Data Visualizations) : Introduction to Big Data, Big Data Ethics and Security MapReduce, HDFS, and YARN Apache Hadoop Workshop (Cloudera) Apache Spark 2.2 (DataFrame, SQL, and ML) Apache Spark Workshop (Shell/Submit, IntelliJ, and Apache Zeppelin) Introduction to Machine Learning, Deep Learning, and Text Mining (Spark-NLP or Stanford CoreNLP) Big Data Analytics Workshop Show less

Associate Member

• Sep 2014 - Sep 2015

Full stack Developer / Cloud Architect

• Jun 2013 - Sep 2014

Research Officer

• May 2011 - May 2013

IT Engineer

• May 2010 - Jul 2010

Web Developer

• Feb 2007 - Jul 2010

Network Enginner

• Jun 2005 - Jan 2007

Freelance Programmer

• 2003 - 2005