CUEIN AI
LLM optimization and data ops for Fortune 500 clients. Learned how to deliver AI solutions for enterprise.
Cuein was an early-stage startup (acquired by ServiceNow) that analyzed millions of customer conversations to identify intents and root causes for CX teams. I worked on LLM optimization, data operations, and GTM for Fortune 500 clients, diving deep into model performance tuning, data labeling workflows, AI evals, and enterprise sales.
It was exciting to combine root cause analysis with user empathy by analyzing customer complaints!
Featured Project: Airbnb Root Cause Analysis
Airbnb needed "granular, actionable insights" from customer complaints, so I refined the taxonomy by deeply understanding Airbnb's business model and customers.
Images pulled from Cuein website. Likely an example from Uber.
Root Cause Analysis for Airbnb. Analyzed 179K conversation dataset, developed taxonomy, and achieved 0.81 F1 score in 3 weeks.
Cuein's Core Product
Platform for analyzing customer conversations at scale.
Other Clients We Supported
Featured Project: Sales Targeting Automation
The CEO originally spent half his week manually searching LinkedIn to identify potential customers. I automated the discovery process using LinkedIn Sales Navigator, Google Search Trends, and Apollo, creating a system that prioritized high-value accounts based on our business model. This allowed the team to focus on messaging and value prop rather than search.
Google Search Trends analysis for identifying high-value customer segments
Impact: 4x efficiency in sales targeting.
Inferred CSAT rubric product I helped improve
Cuein AI gave me a deep dive into how enterprise AI works, and also gave me my first exposure to AI coding.