Hi, I'm Kaycee Tate - Software Engineer at Google
I thrive at the intersection of MLOps and infrastructure, building scalable ML systems at Google. Passionate about creating compliant AI solutions for regulated industries, where I can drive innovation responsibly and effectively.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Led development of a million-QPS serving path for critical Google services.
Currently building compliance infrastructure for ML inference and LLMs.
Can help others architect scalable, compliant AI/ML systems in regulated industries.
🚀 Career trajectory
Foundation in ML Infrastructure
Gained foundational experience in software engineering at Google, focusing on core infrastructure development.
✦ Software Engineering
Specialization in MLOps & Serving
Deepened expertise in MLOps, building high-throughput ML serving systems and automated pipelines for diverse models.
✦ MLOps
✦ Model Serving
✦ Pipelines
Focus on Compliance & AI
Currently architecting compliance solutions within ML infrastructure, specifically for LLMs and regulated environments.
✦ Compliance
✦ LLMs
✦ AI Infrastructure
💪🏻 Superpowers
ML Infrastructure Architect
Building scalable and compliant ML systems
✦ Designed and implemented a million-QPS serving path for critical Google services.
✦ Developed automated training pipelines across 30+ model deployments.
✦ Expertise in model serving, LLM distillation, and evaluation frameworks.
Compliance-Focused Innovator
Ensuring ML systems meet regulatory standards
✦ Built GDPR regionalization infrastructure for ML inference.
✦ Developed API layers for enterprise priority flagger dashboards.
✦ Bridging the gap between advanced AI and strict compliance requirements.
Production ML Specialist
Translating ML research into reliable production systems
✦ 4+ years of experience at Google on large-scale ML infrastructure.
✦ Skilled in migrations from legacy to modern ML serving standards.
✦ Proficient with Kubernetes, GCP, and CI/CD for ML workflows.
I'm excited about
✦ Exploring cutting-edge AI/ML engineering roles at forward-thinking companies.
✦ Connecting with professionals passionate about responsible AI development.
✦ Seeking opportunities to build and scale AI solutions in regulated industries.
I can help with
✦ Advise on building robust and scalable MLOps pipelines.
✦ Share insights on integrating compliance into ML infrastructure.
✦ Provide expertise on optimizing LLM serving and distillation.
I would love your help on
✦ Learn about innovative compliance frameworks in AI.
✦ Discover emerging trends in LLM applications.
✦ Connect with leaders in the AI and regulated technology space.