Peter Barrett

Engagement Manager @Firemind

County Durham, GB
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Nov 2025 — Present

Engagement Manager @Firemind

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Firemind is an AWS Data and AI Partner, specialising in innovative enterprise solutions for their customers in the UK, Europe, North America, Australia and the Middle East. Their services span AI/ML, generative AI, Data and Analytics, Database, DevOps, SaaS, and cloud migration.As an engagement manager I act as the interface between Firemind\'s clients and the technology consultants to ensure smooth delivery of projects and products that make a real and tangible difference. Firemind has served 200+ customers, including the Premier League, Center Parcs, and multinational insurance and financial firms, since its inception in 2018. In 2023, Firemind launched PULSE, a generative AI solution developed using the AWS Partner Solution Factory framework. PULSE has enabled AWS customers to accelerate business outcomes using generative AI on AWS across various industries.

EDUCATION

N/A

Bishops Wordsworth Grammar school and Sixth Form

Classical Civilizations, Government and Politics, Modern History, AAB

2015 — 2018

University of Exeter

BA Ancient History and Archaeology

ABOUT PETER BARRETT

An experienced Account Manager, Peter utilizes his deep technical understanding to form strong and meaningful relationships built around his personal ethos of honesty, care and trust.Peter is a life long learner, taking great interest in the work of his clients and always trying to understand the full scope of any project, technology or situation to allow him to identify the best possible solution. Peter is never afraid to ask questions or think outside the box; he loves to problem solve and tackle tricky situations. Peter has always worked across industries and has developed expertise within the Housing, Insurance, Engineering, Finance, and FMCG, among others.Specialising in data, Peter has excellent knowledge across data solutions including: data quality, ETL, storage, cloud technologies, visualisation, machine learning, computer vision and data science.This is accompanied by a broad technical understanding that encompasses software engineering, Infrastructure and hardware.

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