Dakota Oberhauser
San Diego, US
dakota.o.dev@gmail.com
dakota-oberhauser
dakotaodev

Enterprise Lead for Agentic AI and Technical Anchor specializing in high-scale multi-agent orchestration. Proven track record of architecting board-level AI initiatives utilizing Google ADK, Gemini, and Model Context Protocol (MCP). Expert in designing novel agent interaction patterns and semantic data retrieval systems that drive organizational profitability and technical standards.

Experience

Senior AI Engineer
August 2023
 — 
Present
Cotality

Lead engineer for Agentic & Generative AI initiatives, focusing on agentic workflows and LLM orchestration.

  • Led the development of an 8-agent ecosystem integrated with 10+ MCP (Model Context Protocol) servers to synthesize disparate data streams into actionable real estate insights.
  • Engineered novel agent orchestration architectures, including task delegation and multi-agent interaction patterns, which were adopted as the Enterprise Standard for Multi-Agentic Systems.
  • Architected a Knowledge Store agent utilizing VertexAI RAG engine to index and query complex user/product guides, enhancing the system's reasoning capabilities.
  • Developed rich-media output capabilities for agents, enabling dynamic generation of charts, markdown tables, maps, and Google Street View integrations.
  • Validated routing effectiveness and system accuracy using the Google ADK evaluation framework, ensuring production-grade reliability for executive-level presentations.
  • Technical Anchor for delivering a multi-agentic system to deliver natural language to data product with 80% accuracy on GKE using Spanner Graph DB and Redis Semantic Caching to reduce LLM latency and costs.
Machine Learning Engineer
May 2022
 — 
August 2023
Cotality

Focused on MLOps, model scale, and enterprise-wide ML infrastructure.

  • Orchestrated end-to-end ML pipelines using Apache Beam, VertexAI, and KubeFlow across 6 Business Units, increasing deployment speed by 30%.
  • Modernized legacy prediction models into cloud-native architectures, achieving a 40% boost in processing speed and 50% reduction in deployment cycles.
  • Engineered a company-wide ML framework on GCP that increased overall organizational developer productivity by 25%.
  • Mentored and onboarded junior engineers, creating 'Golden Path' documentation that reduced onboarding time by 40%.
Senior Software Engineer
December 2021
 — 
May 2022
The Marlin Alliance, Inc.
  • Architected secure, distributed software systems for high-stakes environments, driving a 30% increase in client operational efficiency.
  • Developed enterprise Progressive Web Applications (PWAs) for automated data synthesis, eliminating 33% of manual data entry workflows through intelligent automation.
  • Authored a reusable Angular visualization framework that standardized data reporting across projects, accelerating spin-up time by 50% and securing $1M+ in follow-on funding.
  • Engineered real-time cybersecurity dashboards in Tableau to provide instant visibility into threat detection and incident response.
Data Scientist
May 2018
 — 
May 2019
NAWCWD China Lake
  • Designed and implemented R&D decision support systems utilizing the Python scientific stack (Pandas, Sci-kit Learn) for mission-critical applications[cite: 32].
  • Optimized reporting pipelines via MatLab automation, increasing simulation data throughput and processing efficiency by 10%[cite: 33].

Education

Georgia Institute of Technology
Present
 — 
May 2022
Master of Science in Computer Science (Machine Learning Specialization)
San Diego State University
Present
 — 
May 2018
Bachelor of Science in Applied Mathematics (Computational Science)

Skills

Machine Learning:
VertexAI, KubeFlow Pipelines, Scikit-Learn, LightGBM, Model Deployment, MLOps
Generative AI & LLMs:
Multi-Agent Systems, LlamaIndex, Google Agent Development Kit (ADK), Model Context Protocol (MCP), Agent Orchestration (Delegation/Interaction Patterns), Gemini, ReAct Agents, LangChain, Semantic Caching, Prompt Engineering
Infrastructure & Backend:
GCP, Kubernetes (GKE), FastAPI, Docker, CI/CD, Microservices, Redis
Data Engineering:
Pandas, Data Visualization, ETL Pipelines, Tableau, BigQuery, Apache Beam