Experienced Software Consultant, Solution Architect and Project Manager focused on Human Resouces (HR) Technology
With a deep understanding of the human resources sector, Andrew provides expert software consulting services utilising Artificial Intelligence and Machine Learning to optimise HR processes and improve efficiency.
Andrew is comfortable working in the following roles; Software Consultant, Solution Architect, Project Manager or Chief Technology Officer either on a full time or fractional basis.
Andrew is a highly experienced consultant with in-depth knowledge of cutting-edge search technologies, such as Natural Language Processing (NLP) for recruiting and software development. He is capable of providing valuable perspectives and problem-solving approaches for diverse projects.
In his latest endeavour Andrew collaborating with Logic Melon to lead the developement of their CRM system, incorporating multi-posting technology.
Expert in Search Technologies and Recruitment Analytics
Andrew is a senior technical consultant with primary expertise in search technologies such as Lucene, Elastic Search, and Solr. He possesses a deep knowledge of CV and vacancy parsing, search and match algorithms, and recruitment-related analytics.
Andrew specialises in Natural Language Processing (NLP), including Named Entity Recognition (NER), and has developed a highly precise CV and vacancy parser and related tools. He also integrates advanced deep learning techniques into his work. Andrew has further developed tools to accurately predict candidates' likely career progression, skills gap analysis, and current market value.
CV and Vacancy Parsing.
Search Algorithms.
Recruitment Analytics.
Andrew Denby has specialised in Natural Language Processing (NLP) and Named Entity Recognition (NER) for the past decade, with a particular focus on recruitment technology.
During this time, he has acquired a profound understanding of CV and vacancy parsing, search and match algorithms, and recruitment-related analytics. Andrew has successfully developed high precision CV and vacancy parsers using a combination of handcrafted rule-based algorithms and domain-specific ontologies. More recently, he has ventured into the application of advanced machine learning techniques.
Incorporating advanced deep learning techniques to enhance tools and services.
Andrew leverages his expertise in search and machine learning technologies, such as large language models, to develop highly precise CV and vacancy parsers and related tools. He also utilises natural language processing (NLP), including Named Entity Recognition (NER), and incorporates advanced deep learning techniques into his work to automatically create/improve job descriptions and aid in re-writing candidate resumes.
Experienced Senior Technical Consultant
Specialising in search technologies, NLP, and deep learning techniques for recruitment sector.