Abigail A.

Key Skills

Software

No software listed

Top Subject Matter

Customer support automation and business process workflow labeling (intent/routing)

Customer support automation and conversational AI response generation (FAQ-based QA)

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

Classification

Question Answering

Freelancer Overview

AI Automation Specialist — Freelance & Independent Projects (Automated Email Triage & Response System). Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include OpenAI (GPT APIs) and Voiceflow. Education includes AI Automation Specialist, Freelance & Independent Projects (2025). AI-training focus includes data types such as Text and labeling workflows including Classification and Question Answering.

Labeling Experience

AI Automation Specialist — Freelance & Independent Projects (AI Customer Support Chatbot)

TextQuestion Answering

Designed an AI-powered customer support chatbot that answers user questions using company FAQ content to label and respond to conversational intents. Enabled autonomous handling of high-volume support conversations with resolution tracking and escalation when needed. Transformed unstructured user messages into structured responses through a chatbot workflow and knowledge grounding. • Built a context-aware chatbot trained on company FAQs. • Handled 200+ daily conversations autonomously with high resolution. • Deployed via workflow tooling integrated with messaging widgets/agents. • Applied prompt/agent behavior to generate appropriate answers and actions.

2025 - Present

AI Automation Specialist — Freelance & Independent Projects (Automated Email Triage & Response System)

TextClassification

Built LLM-based email intent classification and automated response workflows to label incoming support emails by routing and query type. Implemented logic that escalated complex messages to human review while auto-drafting replies for routine categories. Reduced manual processing burden by converting unstructured inbox text into structured intents and action outcomes. • Classified 500+ daily emails by intent using an LLM classifier. • Auto-drafted replies for routine queries and escalated complex cases. • Integrated Gmail inputs with automation logic for downstream handling. • Used LLM prompts and workflow rules to translate text into actionable routing decisions.

2025 - Present

Education

Work History