abredihin

Led the development of an AI-powered assistant for on-chain investment insights. — Benchmarked existing AI agents (e.g., ChainGPT, TMAI ChatBot), identifying 10+ core evaluation metrics such as token coverage, prompt latency, hallucination rate, and integration capabilities. — Evaluated an initial LLM prototype and flagged misalignment with product goals early. Initiated a pivot by consulting domain-specific ML engineers and coordinated the transition to a more scalable and accurate model. Delivered full technical documentation, sourced a new dev team, and saved ~2 months of engineering effort. Achieved a 30% reduction in response latency and a 43% increase in answer accuracy. — Authored 25+ user stories to scale AI agent capabilities — improved token onboarding flow (auto-launch, seamless auth), redesigned key UI components like Holder Buy/Sell Speedometers and Wallet Volume Distribution. Resulted in a 31% boost in user engagement. — Spearheaded the development of a token discovery interface with query history and saved tokens (favorites). — Ran A/B tests with early adopters and increased conversion from search to token profile views by 21%. — Improved user support by integrating real-time chat support into the App

Responsibilities include development and implementation of support tools, optimizing customer experience, analyzing support interactions, and collecting feedback Work in a cross-team to improve user experience, interface changes, develop a customer action analysis model to reduce the cancellation rate of paid subscriptions. A/B testing

Responsibilities include supporting customers worldwide and for developing data analytics models to improve the company's profitability Resolving operational issues, integrating companies into the payment system, and onboarding employees. Responsible

Responsibilities include customer support via chat applications and calls, supervising disputes on international transactions, and leading a cross-functional team.