AI Customer Support Intent Classification
Labelled customer support tickets by intent (billing, technical issue, onboarding, cancellation) to improve chatbot routing accuracy and reduce response times. Focused on edge cases where intent overlaps.
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Director of Sales and Marketing. Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Certificate in Artificial Intelligence Fundamentals, Anthropic (2026) and Certificate in Artificial Intelligence Literacy, IBM SkillsBuild (2026).
Labelled customer support tickets by intent (billing, technical issue, onboarding, cancellation) to improve chatbot routing accuracy and reduce response times. Focused on edge cases where intent overlaps.
Designed and refined prompt-response pairs to train Salesforce Agentforce agents across customer support and sales scenarios. Emphasis on accuracy, tone consistency, and handling real-world business interactions.
Ranked multiple chatbot responses based on helpfulness, accuracy, and tone to improve conversational AI performance through reinforcement learning. Focused on real-world conversational scenarios.
Transcribed and labelled sales calls, tagging key moments such as objections, closing attempts, and buying signals to support sales coaching AI tools. High accuracy required for tone and intent.
Labelled and structured lead data based on conversion likelihood, engagement signals, and behavioral patterns to enhance AI-driven lead scoring within Salesforce Einstein. Focused on improving lead prioritization and supporting sales teams in identifying high-value opportunities.
Certificate in Artificial Intelligence Fundamentals, Artificial Intelligence Fundamentals
Certificate in Artificial Intelligence for Project Management, Artificial Intelligence for Project Management
Director of Sales and Marketing
Head of Customer Success