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AI Engineer working on GenAI systems for finance and operations teams.

Summary

  • AI Engineer working on GenAI systems for finance and operations teams.
  • Experience with RAG, agents, LLM evaluation, cloud deployment, access control, and monitoring.

Professional Experience

  • 2026
    AI Engineer
    Ignition Consultants, Boston, MA
    • Build AI agents and workflow automations for CFO and finance operations, integrating LLM tools with financial models, client data, and reporting workflows.
    • Design research, document-analysis, and operations pipelines with human-in-the-loop review, audit trails, role-aware access controls, and measurable time-savings targets.
  • 2024-2026
    Data Scientist
    Pinegrove Venture Partners, Menlo Park, CA
    • Shipped AWS inferencing gateway and retrieval service for a Teams copilot over 200k+ emails and 200 GB of documents using ECS, Bedrock, and pgvector; achieved p95 800 ms at 2.0 QPS and 99.9% availability.
    • Built hybrid retrieval, reranking, retrieval-strict prompts, citations, fallback/no-answer behavior, and offline evals; improved answer accuracy 30% and reduced hallucinations 40%.
    • Reduced cost per 1k tokens 15% through response caching and dynamic model routing; added SLO dashboards for latency, cost, accuracy, and error budgets.
    • Administered 100+ Postgres tables and delivered executive-ready analyses across 15-25 ad hoc stakeholder requests per month.
  • 2024
    AI Consultant
    SVB Capital, Menlo Park, CA
    • Developed investment copilot with Microsoft Teams, Bedrock/Anthropic, S3, SSO, and role-aware access, reducing time-to-first-draft by 50%.
    • {"Delivered SVB's State of the Market Report"=>"AI from roughly 80 internal sources."}

Earlier Experience

  • Data Analyst, Inception Inc - built SQL models, Tableau dashboards, and campaign analyses driving $3.1M budget reallocation, 21% conversion lift, and 38% fewer ad hoc requests.
  • Graduate Researcher, Southern Methodist University - led labs in pandas, scikit-learn, and statistical modeling; mentored capstone teams through model evaluation and stakeholder communication.

Selected Project

  • 2024 - 2025
    Pinegrove GenAI Platform
    Internal GenAI platform
    • Built internal GenAI platform with Open WebUI, AWS Bedrock, native RAG, SSO, prompt/version registry, model routing, and SLO dashboards.
    • Supported 30+ active users, 10k+ interactions, roughly 99% uptime, quarterly compliance log exports, and 30% faster investment/operations workflows.

Education

  • 2024
    M.S. Data Science
    Southern Methodist University
    • GPA 4.0
  • 2018
    B.A. Business Administration
    University of Washington

Publication and Certifications

  • Publication: Multi-Agent Translation Team (MATT), SMU Data Science Review, Apr 2025.
  • Certifications: Harvard CS50 Artificial Intelligence; Tableau Desktop Specialist.
  • Award: Best Capstone Presentation - SMU.