a
anthonyscarr

Anthony

@anthonyscarr

Salesforce and AI Developer

Reino Unido
Inglés
Parte de la información aparece en idioma inglés.
Sobre mí
Hi, I'm Anthony, a UK-based AI, Machine Learning, Salesforce and automation specialist. I build practical AI solutions, from LLM fine-tuning and image model training to Salesforce AI assistants, Python automation and custom business systems. I work with modern AI tools including Claude Code, GitHub Copilot and OpenClaw to develop reliable, scalable solutions. Whether you need AI model training, workflow automation, CRM development or custom integrations, I focus on delivering solutions that save time, improve efficiency and solve real business problems.... Lee más

Habilidades

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anthonyscarr
Anthony
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Revisa mis servicios

Aplicaciones Full Stack Web
I will set up and create functionality for your salesforce org
DeUSD 50 / proyectoMás información
Implementación y despliegue de IA
I will install, configure and deploy openclaw
DeUSD 95 / proyectoMás información

Experiencia laboral

Self_Employed

Technical Consultant

Self Employed • Tiempo completo

Nov 2021 - Sep 2024 • 2 yrs 10 mos

At CGI, I worked as a Salesforce Developer delivering CRM solutions for public sector and non-profit organisations, including Forestry England, ENGIE, Polaris, PTSD Resolution and the Canal & River Trust. My work included Apex development, Flows, Lightning Web Components, integrations, test classes, data migration and solution design, helping clients deliver scalable and maintainable Salesforce solutions. For the Canal & River Trust, I developed and debugged Python scripts to support payroll and timesheet processing, alongside API integrations, chatbot development and IoT proof-of-concepts. Alongside client work, I also led an internal AI innovation project aimed at improving the bid-writing process. The solution analyzed previously successful bids and used AI to identify similar opportunities, helping teams generate more consistent and efficient proposals while reducing the time spent preparing submissions. The project took approximately six months to develop and was selected as the winning entry in CGI's internal innovation competition, receiving recognition for its practical business value and innovative use of AI.