a
anthonyscarr

Anthony

@anthonyscarr

Salesforce and AI Developer

Royaume-Uni
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
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.... Plus d’infos

Compétences

a
anthonyscarr
Anthony
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Applications Web Full stack
I will set up and create functionality for your salesforce org
De50 $US / projetPlus de détails
Mise en œuvre et déploiement de l’IA
I will install, configure and deploy openclaw
De95 $US / projetPlus de détails

Expérience professionnelle

Self_Employed

Technical Consultant

Self Employed • Temps plein

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.