David Dignam
Castleford, England,United Kingdom
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David Dignam is a highly experienced engineering leader currently serving as the VP of Engineering at Seldon, a company at forefront of Machine Learning Operations (MLOps). With a strong background in software development, architecture, and managing high-performing engineering teams, David has been instrumental in shaping Seldon's innovative open-source and enterprise products for deploying, monitoring, and managing machine learning models at scale. His expertise lies in cloud-native technologies, Kubernetes, microservices, and driving technical strategy. Prior to Seldon, he held significant engineering roles at Fidessa, gaining deep experience in financial technology. David is passionate about open source, MLOps best practices, and building robust, scalable systems.
Professional Summary
David Dignam's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Leadership in MLOps Product Development
As VP of Engineering at Seldon, David has overseen the development and evolution of key MLOps products, including Seldon Core (an open-source framework for ML deployment on Kubernetes) and Seldon Deploy, enabling organizations to operationalize machine learning effectively.
Scaling Engineering Organizations
Successfully scaled Seldon's engineering department, implementing agile methodologies and fostering a culture of innovation and collaboration to meet the growing demands of the MLOps market.
Advancement of Open Source in MLOps
Championed and contributed to Seldon's open-source initiatives, significantly impacting the MLOps community by providing powerful tools for machine learning deployment and fostering a vibrant ecosystem around them.
Extensive Experience in Financial Technology
During his tenure at Fidessa (over a decade), David contributed to the development and delivery of complex, high-performance trading and market data systems used globally by financial institutions.
Educational Background
BA (Hons), Politics
Nottingham Trent University - Year 1995
A Level, English, History, Economics
Heckmondwike Grammar School - Year 1988
GCSE, Maths, English, English Literature, Chemistry, Physics, History, Geography, French
Heckmondwike Grammar School - Year 1988
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Company Overview
SigmaSigma Computing provides a cloud-native analytics and business intelligence platform that allows users of all skill levels to explore and analyze live data from their cloud data warehouse using a familiar spreadsheet-like interface. It empowers business users to conduct complex data analysis without needing to write SQL, enabling faster insights and data-driven decision-making across organizations.
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