Resume

Professional Summary

Freelance Machine Learning Engineering, focused on building end-to-end production AI systems on GCP.

Values-driven leader who operates with intellectual honesty, uncompromising integrity, and a commitment to cultivating inclusive, collaborative team cultures.

Leverages a 20-year foundational background in high-value B2B enterprise sales to bridge complex technical architectures with business strategy across Fintech, Cybersecurity, and Healthcare sectors.

Experience

Machine Learning Engineer - Data Science Consulting, LLC

April 2024 - Present

New York, NY

  • AI System Design, including agent runtime, MCP and RAG
  • ML System Design, including high performance model training with scalable inference
  • Industry expertise: high tech sales and marketing, urban transit, healthcare, ecommerce and fintech

Caregiving Career Break

November 2019 - October 2022

I took a career break during the pandemic to raise my newborn daughter. During that period, I evaluated several career paths and by mid 2023, chose to pursue data science.

Strategic Account Executive - Intellect Design (Fintech)

August 2017 - October 2019

New York, NY

  • Built and executed go-to-market strategy for new customer acquisition of tier 1/2 banking segment
  • Developed new business pipeline with $25 total contract value (TCV)
  • Built and executed account based marketing strategy

Enterprise Account Executive - Backbase (Fintech)

December 2014 - January 2015

New York, NY

  • Closed 2 tier 2 bank launch customers, including Keybank and Goldman Sachs
  • Delivered $4.5 million in new business revenue in first 15 months

Enterprise Account Executive - Melbourne IT Group (Cybersecurity)

December 2006 - October 2011

New York, NY

  • Global sales leader, 2011 - 2012
  • Delivered $26 million in new business during 6 year period

Skills

  • Machine Learning Libraries: XGBoost, Sci-kit Learn, Optuna, SHAP
  • Machine Learning Systems: Regression, Classification, Clustering, Reinforcement Learning
  • Deep Learning Libraries: PyTorch, TensorFlow:
  • Deep Learning Systems: Recommendation Systems, Computer Vision, Forecasting, Natural Language Processing
  • MLOPs Infrastructure: Gemini Enterprise Agent Platform, ZenML, Hydra, MLFlow
  • Data Engineering: Batch(ETL) and Stream Processing
  • Python, SQL
  • Object Oriented Programming
  • Data Structures and Algorithms
  • Cloud Infrastructure
  • Web and Mobile Applications