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Work Background
McRaff InvestmentsCo-Founder, CEO
Jan. 2025Cleveland, Ohio, United States- Leading Strategic Growth – Spearheading real estate investment strategies to acquire, manage, and scale high-performing properties in Cleveland and beyond.
- Maximizing Returns – Leveraging market insights and data-driven decision-making to optimize asset performance, generate passive income, and build long-term wealth.
- Building Community & Partnerships – Developing strong relationships with investors, lenders, and local stakeholders to drive sustainable growth and contribute to revitalizing neighborhoods.
SchellmanSenior Machine Learning Engineer
Dec. 2024- Built LLMOps system that aided in evaluating complex AI agent pipelines at scale within >5 ms of a completed run.
- 0 to 1 product building of Schellman’s internal AI systems: building fullstack applications in Python, JavaScript and TypeScript.
S2STEMEngineering and Technology Teacher
Sep. 2024 - Dec. 2024Garnet Valley, Pennsylvania, United States- Develop technology and engineering curriculum for K-6 student population.
HumanloopCustomer Advisory Board
May. 2024 - Sep. 2024- Provided feedback to Humanloop Product and Engineering teams on how Vanta is using MLOps in its products
Pleiotropy DataFounder, Head of AI / Machine Learning
Jan. 2024- Work with a variety of client on their data-intensive projects; building infrastructure and helping develop sustainable data environments
- Clients have included: MIT Solve, SRC Dev Hub, and Startland Education
VantaMachine Learning Engineer
Jan. 2023 - Sep. 2024San Francisco Bay Area- Pioneered machine learning and statistical computing initiatives as the founding ML engineer at Trustpage, later integrating these skills into Vanta’s Trust AI team following acquisition.
- Designed robust ETL workflows to prepare and transform data for advanced analysis, ensuring high natural language data quality and accessibility across the team.
- Spearheaded the development of a Questionnaire Automation tool using state-of-the-art Large Language Models (LLMs) and advanced retrieval architectures, achieving $1M+ ARR.
- Contributed to the design of a Vendor Risk Management tool leveraging retrieval-augmented generation techniques, leading to $2M+ ARR.
- Led MLOps advancements within the Trust AI team, designing custom production monitoring metrics with human correlation to accelerate iteration cycles from 1 month to under 1 week.
- Applied generative text models, including GANs, DNNs, and Azure OpenAI GPTs, to efficiently address security questionnaires by simulating evidence sourced from customers’ security posture and policy documents.
- Utilized NLP-driven data and sentiment analysis techniques to guide project strategies, optimizing outcomes in projects involving generative text models.
Code for Science and SocietyMachine Learning Researcher
May. 2022 - Jan. 2024
Trust NeighborhoodsData Scientist
May. 2022 - Jan. 2023Kansas City, Missouri, United States
Montgomery CollegeAdjunct Professor
Apr. 2021Offering a Python for Research Scientists course as part of the Biotrac Workforce Development program
SharpestMindsData Science & Machine Learning Mentor
Apr. 2020 - Apr. 2023
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