Ross Canny

– Developed and deployed AI-powered agents using LangChain and LangGraph, enabling scalable and modular orchestration of complex workflows. – Designed and implemented Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases to enhance response accuracy and contextual relevance. – Optimized AI model interactions by reducing token usage by 80%, improving system efficiency and lowering operational costs. – Solved complex database query challenges, improving data retrieval performance and ensuring seamless integration with AI systems. – Built end-to-end AI solutions, including prompt engineering, data pipelines, and backend integrations for production-grade applications.

– Designed and developed robust backend systems to support AI-driven image and video generation workflows, ensuring reliability and scalability by using Node.js and Python. – Built intuitive and dynamic user interfaces for seamless interaction with AI models, enhancing user engagement and productivity with React and Next.js. – Integrated APIs for AI model inference, enabling real-time generation of images and videos on the platform. – Collaborated with data scientists to efficiently deploy machine learning models into production, improving the speed and accuracy of AI-generated outputs. – Optimized processing pipelines to handle large-scale image and video data, reducing generation time and improving performance. – Implemented authentication, role-based access control, and secure data handling to ensure the platform adhered to privacy and security standards. – Developed modular frontend components with real-time rendering functionality, providing users with previews of generated assets. – Worked on upgrading and maintaining cloud infrastructure to manage the computational demands of AI model training and inference. – Conducted extensive code reviews and enforced best practices, ensuring high-quality, scalable, and maintainable codebases across the team.

– Delivered end-to-end software solutions for diverse clients by developing scalable and maintainable web and mobile applications. – Collaborated with cross-functional teams to gather customer requirements, recommend technical solutions, and deliver tailored software products. – Designed and implemented robust backend architectures, ensuring secure and efficient client data management. – Built responsive, user-friendly interfaces that met client specifications, improving user experience and client satisfaction. – Developed RESTful and GraphQL APIs to enable seamless communication between frontend interfaces and backend systems. – Worked with a variety of industries, customizing applications based on specific business needs and processes. – Implemented cloud-based solutions for clients, leveraging AWS and Azure to ensure scalability and reliability of deployed applications. – Guided clients in adopting best practices for development workflows, including CI/CD pipelines and version control systems. – Participated in agile development cycles, contributing to the feature roadmap by aligning technical initiatives with business goals.