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Jessie Nabors

@jessienabors

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Applied AI Engineer at Rasa building conversational agents with 92% intent accuracy.

United States

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At Rasa, I orchestrate Rasa-based agents handling 4,000 monthly interactions, with 92% intent recognition accuracy. I also refine training data and workflows to improve recognition and grounding.

I developed Python backend services and API integrations for eleven conversational experiences, handling 850,000 queries per month. I integrated LLM and prompt-based capabilities into application workflows, improving grounding accuracy and reducing latency.

At Bittrex, I developed backend systems for financial workflows with 99.99% uptime. I also built API-driven market data integrations and asynchronous services for high-volume trading operations.

At Aptoide, I optimized backend services, asynchronous processing, and database queries. That work improved throughput and reduced latency across application data flows.

Experience

Work history, roles, and key accomplishments

Current

Applied AI Engineer

Current

Rasa

Apr 2023 - Present (3 years 7 months)

Orchestrated the creation of Rasa-based agents managing 4,000 monthly user interactions, achieving 92% intent recognition accuracy and reducing fallback rate by 18%. Developed AI services and integrated LLM capabilities, improving grounding accuracy by 25% and reducing latency by 30%.

Python Rasa NLP NLU LLM RAG Intent Classification Entity Extraction Prompt Engineering API Integration Backend Services Regression Testing

Backend / Market-Making Systems Engineer

Bittrex

Aug 2021 - Mar 2023 (1 year 7 months)

Developed and maintained high-throughput backend systems for financial workflows, guaranteeing 99.99% uptime. Engineered API-driven integrations and asynchronous event-driven services, processing over 5 million trading events daily and reducing latency by 150ms.

Backend Systems API Integration Event Driven Architecture Asynchronous Processing Testing Automation ML Systems Real Time Pipeline Performance Optimization

Backend Engineer

Aptoide

Jun 2019 - Jul 2021 (2 years 1 month)

Accelerated application data flows by optimizing asynchronous job processing, increasing system throughput by 35%. Optimized database queries and implemented caching strategies, decreasing backend latency by 25% and improving system availability.

Backend Engineering API Performance Asynchronous Processing Database Optimization Caching Release Engineering Collaboration