Jesse Griffith

Architected end-to-end agentic workflows using Claude’s reasoning capabilities to automate complex, multi-step customer success pipelines.
Developed a Support Agent using Retrieval-Augmented Generation (RAG), which resolved 65% of Tier-1 tickets and reduced manual intervention.
Integrated LangChain and Claude’s proprietary APIs into a Next.js frontend, which optimized internal data retrieval and cut response times for the sales team by 50%.
Fine-tuned open-source models (such as Llama 3) to better handle niche industry terminology, resulting in a 22% increase in sentiment analysis accuracy for specialized client datasets.

Architected end-to-end agentic workflows using Claude’s reasoning capabilities to automate complex, multi-step customer success pipelines. - Developed an autonomous Support Agent utilizing Retrieval-Augmented Generation (RAG); this system successfully resolved 65% of Tier-1 support tickets, significantly reducing the need for manual human intervention. - Integrated LangChain and Claude’s proprietary APIs into a Next.js frontend, which optimized internal data retrieval and cut response times for the sales team by 50%. - Fine-tuned open-source models (such as Llama 3) to better handle niche industry terminology, resulting in a 22% increase in sentiment analysis accuracy for specialized client datasets.

Led the migration of legacy monolithic architectures into high-performance, cloud-native microservices.
Orchestrated migration from on-premises servers to AWS Lambda and Kubernetes, slashing annual infrastructure overhead costs by $150,000.
Built high-concurrency backend services using Go and Rust, improving API response times by 40% under peak loads.
Implemented automated CI/CD pipelines that reduced deployment-related downtime to near zero.

Led the migration of legacy monolithic architectures into high-performance, cloud-native microservices. - Orchestrated a total migration from on-premise servers to AWS Lambda and Kubernetes, which slashed annual infrastructure overhead costs by $150,000. - Built high-concurrency backend services using Go and Rust, improving API response times by 40% under peak loads. - Implemented automated CI/CD pipelines that reduced deployment-related downtime to near zero.

Designed complex data visualization dashboards to translate massive datasets into actionable executive insights.
Built a real-time telemetry dashboard using React and D3.js for Fortune 500 clients, handling over 1M data points per second.
Optimized frontend state management, resulting in a 30% increase in rendering performance on low-powered devices.
Developed ETL pipelines to clean and structure messy behavioral data, improving the reliability of monthly BI reports.

Designed complex data visualization dashboards to translate massive datasets into actionable executive insights. - Built a real-time telemetry dashboard using React and D3.js for Fortune 500 clients, handling over 1M data points per second. - Optimized frontend state management, resulting in a 30% increase in rendering performance on low-powered devices. - Developed ETL pipelines to clean and structure messy behavioral data, improving the reliability of monthly BI reports.

Served as an early-hire engineer responsible for building and scaling the MVP of a social fitness application.
Built the initial web platform from scratch using the MERN stack, helping the company scale from 0 to 50,000 active users in 18 months.
Refactored the database schema (MongoDB), which reduced query latency by 45% during high-traffic marketing events.
Implemented a responsive UI that maintained a 4.8-star user satisfaction rating across mobile and desktop.

Served as an early-hire engineer responsible for building and scaling the MVP of a social fitness application. - Built the initial web platform from scratch using the MERN stack, helping the company scale from 0 to 50,000 active users in 18 months. - Refactored the database schema (MongoDB), which reduced query latency by 45% during high-traffic marketing events. - Implemented a responsive UI that maintained a 4.8-star user satisfaction rating across mobile and desktop.