Dakota S.
Seattle
(555) 000-0000
dakota.s@email.com
February 12, 2026
Hiring Manager
AdvisoryAI
Dear Hiring Manager,
AdvisoryAI's commitment to delivering actionable insights through machine learning aligns perfectly with the systems I have built at scale. I migrated Apple Music's recommendation engine to a hybrid Azure/AWS architecture, improving prediction latency by 40% while keeping weekly deployments on schedule. Now I am ready to bring that level of reliability and velocity to AdvisoryAI's product.
The recommendation pipelines I designed at Apple processed 100M user events daily, and I maintained strict SLAs through observability and automated rollback mechanisms. I am comfortable pairing with data scientists to productionise experiments while also advocating for engineering discipline.
Collaboration is at the heart of how I work; I regularly run workshops on ML best practices for non-technical stakeholders and mentor junior engineers on code quality. AdvisoryAI's focus on clarity in decision-making is a culture where I will thrive.
I am eager to partner with your team to enhance the robustness of your recommendation APIs and ensure that AdvisoryAI's insights remain trustworthy. Thank you for considering my application.
I would welcome the opportunity to discuss how my experience building resilient ML systems can support AdvisoryAI's vision. Would you be open to a conversation next week?
Sincerely,
Dakota S.