Logan Shamberger

- Technical lead for multiple internal projects related to Generative AI and the software development lifecycle.

- Collaborated with Sourcegraph and internal teams to develop a method to integrate AI-assisted tools utilizing self-hosted LLMs in disconnected environments. Delivered and helped deploy capabilities to the customer environment for a pilot, which led to adoption by the program.

- Developed a VSCode plugin to decompose and create JIRA tasks utilizing generative AI

- Created a data ingestion pipeline and associated infrastructure for model training

- Collaborated with colleague to take a prototype of an LLM workflow related to systems engineering that they built, make it deployable via Docker, and extensible, resulting in multiple technology transitions.

- Designed an agentic architecture to support using AI agents in the SDLC.

- Engaged with customers and stakeholders to develop use cases and requirements for agentic use cases across multiple business lines, moving from ideation to the prototype stage within the first months of 2025.

- Communicated my team's findings in written deliverables and presentations to executive leadership

- Mentored engineers and performed team lead responsibilities. Developed a techinical vision for our research and helped decompose that to workable problems for the team.

- Continuing to stay abreast of developments in agentic AI, identifying technologies that are viable for interoperable and secure agentic systems, and incorporating those into our platform.

• Technical lead for Generative AI Software research team, investigating how Gen AI can be applied to the SDLC
• Participate in full lifecycle of software development, working within broadly defined parameters
• Scrum Master for team developing methodologies for rapid and secure software development.
• Transitioned deployments to GitOps using Fleet and Rancher, achieving repeatable and reliable deployments across multiple clusters
• Managed CI/CD pipelines and EKS clusters for FDSE/FMDS projects as a member of the LEAF Solutions team. Aided in system design, troubleshooting deployments, networking, and helped developers set up local environments for development.
• Developed and built data engineering pipelines. Ingested and transformed data relating to device health issues from Aternity, SCCM, and JAMF. Collaborated with data scientists to develop views to support their work and provided software development/AWS support as needed. Helped convert their existing environment to deploy using Terraform to deploy to production
• Developed microservices to deploy image recognition models on Raspberry Pis and NUCs. Working within broad parameters, evaluated technologies to use for services. Trained and evaluating existing models as needed and packaged them for deployment using Python and ONNX.
• Worked with Sourcegraph team as a technical POC to standup a proof of value for utilizing generative AI to aid software development in Leidos in AWS.
• Participated in development of requirements with program management and stakeholders.

• Developed Gitlab CI/CD pipelines for internal projects. Worked with a team of developers to reduce length of company's sprint zero from weeks to days.
• Worked with user experience to create a solution for a documentation and marketing page in AWS
• Containerized a machine-learning model and deployed it within a microservices architecture.
• Provided AWS infrastructure support for developers
• Developed APIs and algorithms as part of modernization of a full stack application with multiple instances. Participated in code reviews and load testing of the application.
• Worked of a DevOps team supporting development of a microservice-based project utilizing Docker Kubernetes.