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Elanco Animal Health - Generative AI Engineer - 2024 - Present

• As a placement student I developed the proof-of-concept for an internal AI chatbot, working directly with the Enterprise Architect and the CTO, gaining visibility to both the senior leadership team and C suite.

Elanco Animal Health - Generative AI Engineer - 2024 - Present

• Scaled an internal-facing AI chatbot from a proof-of-concept to a mature product supported by 20 full time employees, serving 9,500 users and saving an estimated 80,000 hours of work.
• Consulted with external third party cloud providers for Elanco’s AI models to ensure compliance and security requirements, ensuring AI can scale for other projects.
• Designed and developed an internal AI workflow within the chatbot allowing for end users to query over 3,200 quality docs in a variety of formats and structured from acquisitions and divestitures over multiple years. The result of this reduced the time to find documents from 24+ hours to less than 30 seconds, aiding in the audit and review process of manufacturing sites.
• Tested and evaluated new LLMs across a series of internal benchmarks such as misuse and relevancy based on user feedback to ensure quality and speed resulting in a positive user experience.
• Mentored multiple students within the placement program helping to build technical and interpersonal skills.
• Created a new curriculum based on the feedback from previous years of the placement program to ensure a smooth onboarding and helping to build new technical skills.
• Provided an easy way for students to engage with Elanco’s cloud providers in a safe manner, offering support sessions to support students with internal coding challenges.
• Implemented a rollout of Elanco’s indemnity controls to ensure the models used by Elanco were risk managed.
• Authored a risk management layer for the organisation to ensure transparency to Elanco’s AI governance board for ongoing and new AI initiatives.
• Designed and developed an organisation wide pipeline for ingesting SharePoint to the RAG database, utilising scalable VM’s and ensuring compliance with Elanco’s file security standards.
• Implemented a model testing suite, based on a custom feedback loop form users utilising the application.
• Engaged with external engineering teams to build upon Elanco’s AI chatbot either using custom workflows within the AI or the API directly ensuring the team reached their desired outcome.
• Implemented an addition to the agentic workflow, allowing custom MCP servers to be utilised within the tooling resulting in a self-serve model for users to build upon.
• Reduced monthly cloud spend by 99.3% (from $16,000/month to $100/month) without compromising on performance.
• Conducted 20+ interviews for the placement program and the Enterprise AI team.
• Implemented an AI POC into the risk management process alongside the SOC team to reduce time to results from >3 days to <1 day.

Elanco Animal Health - Software Engineer - 2022 - 2024

• As a placement student I developed the proof-of-concept for an internal AI chatbot, working directly with the Enterprise Architect and the CTO, gaining visibility to both the senior leadership team and C suite.
• Designed, implemented and maintained platforms such as the Developer Portal.
• Maintained legacy systems, resulting in increased uptime and performance increase which enabled more users to utilise the tooling directly.
• Contributed to Elanco’s software engineering standards by completing reviews on API endpoints, pinpoint common misconfigurations and mitigate these with the appropriate teams, reducing the overall attack surface and educating teams.
• Designed the technical architecture for a multi-project analytics platform combining application security and cloud cost, increasing visibility for both development teams and senior leadership.
• Benchmarked the latest LLMs from GPT3.5 to Gemini Pro 2.5 to select the optimum model for cost to performance.
• Owned the end to end workflow from problem discovery to building a production ready RAG system.