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MN@michaelnorval
Programmer / Data Scientist
South AfricaAs a seasoned programmer and data scientist, I have a strong background in advancing expertise in Python, C++, and Data Science, with a focus on natural language processing (NLP), speech recognition, and image deep learning. My experience spans the development of complex algorithms, integration of AI systems, and implementation of research-driven solutions using cutting-edge deep learning frameworks.
I have worked on various projects, including designing and deploying advanced models for diverse applications, particularly in the healthcare sector, leveraging standards such as FHIR/HL7 and DICOM imaging. My expertise also includes extensive experience with databases, ranging from relational systems like MySQL to advanced data vectorisation and storage in vector databases.
Throughout my career, I have demonstrated a strong focus on innovation and precision in applied research and development, complemented by a technical foundation in programming languages such as Python, C++, and C#.
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Work history, roles, and key accomplishments
Insouds Technologies
Apr 2024 - Present (1 year 7 months)
As a Senior Data Scientist, I focus on natural language processing, deep learning, and data management in healthcare. My role involves collecting and preprocessing large datasets, building predictive models, and deploying machine learning solutions using Python and AWS.
REReadycomputing
Dec 2020 - Apr 2024 (3 years 4 months)
In this role, I integrated medical systems using HL7 and FHIR REST API, developed custom interfaces, and performed advanced data manipulation for healthcare applications. I also handled DevOps tasks for continuous integration.
INInfoCareHealth
Jan 2019 - Nov 2020 (1 year 10 months)
Led initiatives in tuberculosis detection through advanced imaging techniques and machine learning. Managed multimillion Rand projects and collaborated with cross-functional teams to implement AI solutions in healthcare.
Philips Medical
May 2012 - Oct 2014 (2 years 5 months)
Managed IT projects involving PACS and RIS systems, drafted SLAs, and liaised with clients. Conducted server installations and maintained hardware and software systems.
Promed Medical
Feb 2007 - May 2012 (5 years 3 months)
Developed software for medical applications and managed teams for system upgrades. Conducted training and liaised with clients to ensure project success.
Fidentia
Aug 2006 - Feb 2007 (6 months)
Managed software deployment and system monitoring. Developed software and collaborated with IT for user rights and network setups.
Degrees, certifications, and relevant coursework
UAPhD, Computer Science
2022 -
Research focused on multi-lingual emotion detection in speech using Hybrid Neural Network Architectures.
UAMaster of Technology, Electronic Engineering
2018 - 2019
The thesis was The detection of Pulmonary Tuberculosis using Deep Convolutional Neural Networks.
UABachelor of Technology, Electronic Engineering
2003 - 2005
Specialising in Communication systems.
CTNational Diploma, Electrical Engineering
1995 - 1998
Specialising in computer and digital systems.
Software and tools used professionally
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