I'm AJ Hennessy.

• Collaborated on the backend development of an AI product using GraphRAG, enabling the discovery of relationships between entities within given datasets, improving data insights and analysis capabilities
• Created data pipelines using Azure Data Factory, ensuring seamless data flow between Azure Blob storage (parquets) and Azure Cosmos
• Tuned parameters of the GraphRAG indexing engine, reducing indexing time by approximately 66% (from 6 hours to 2 hours), significantly accelerating the data pipeline
• Developed and optimized steps of the data pipeline in Azure Databricks utilizing Python, resulting in a 15% improvement in data processing efficiency
• Implemented secure connections and integrations using Azure Managed Identities, enhancing security and access management
• Created quality checks for data at each step of the pipeline, improving data integrity and accuracy
• Set up a logging system to Azure Application Insights and an Azure Monitor to oversee the data pipeline, leading to a 35% increase in error detection, resolution speed, and operational efficiency

• Boosted workflow efficiency by developing web applications, achieving up to a 65% reduction in process times for key operations
• Designed and deployed full-stack solutions utilizing Angular 14 and a Python/NodeJS-based backend, which was enhanced by Docker for consistent, environment-agnostic deployments
• Managed databases and storage solutions using Azure Cosmos (transitioned from SQL Server) and Azure Blob storage, ensuring high availability and scalability
• Collaborated on the orchestration of development, testing, and production environments across Azure DevOps and Azure Services, facilitating seamless change management and zerodowntime deployments to production
• Implemented and refined the CI/CD pipeline in Azure DevOps, accelerating deployment processes by 20% and significantly reducing manual intervention
• Developed an automated testing framework as part of the CI/CD pipeline, increasing code coverage by 82% and substantially improving code quality

• Developed an advanced autonomous navigation system utilizing GPS and LIDAR technology to enhance terrain adaptability for an all-terrain robot using C++ and ROS
• Utilized simulation tools to rigorously test and validate code, ensuring high reliability and performance under diverse operational conditions
• Managed version control with Git, facilitating effective collaboration with team members and maintaining a robust codebase across multiple development phases

• Developed and implemented development tools and unit tests for C# applications, enhancing code coverage by 16%
• Utilized JIRA for managing and tracking the completion of feature requests and bug fixes, improving issue resolution efficiency and team agility

GPA: 3.8
Languages: Python, C++, Java
Relevant Coursework: Graduate Algorithms, Knowledge Based Artificial Intelligence (AI), Game AI, Network Security, Software Architecture & Design, Software Analysis & Test