Michelle Bonat
| Leader & Builder with AI & Data |
Michelle is the Chief AI Officer (former CTO) at venture backed startup AI Squared, with a history of transformative leadership roles in AI and technology, including AI CTO at JPMC and Head of AI Innovation at Chase. She built AI into 90+ products for 1.5 billion logins, led global engineering and product initiatives at Oracle across 30 countries, and founded a fintech startup.
A lead inventor on multiple ML patents and hands on data scientist, Michelle was product lead at three companies that were acquired including Ariba (ARBA acquired by SAP). She serves on the Kellogg/McCormick MBAi advisory board, speaks on AI, and was named to the AI 150 list. She holds an undergraduate degree from Northwestern and an MBA from Kellogg.
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Portfolio
Adding Safety Guardrails to Your GenAI Chatbot Using Google Gemini
We inspect the safety ratings returned from the Vertex AI Gemini API using the Python SDK, then set a safety threshold to filter responses. After the safety thresholds are put in place, we see a hateful response has been blocked. Even when requested in a prompt it will not be shown to the user.
Comparison of Document Summarization Techniques using Anthropic Claude LLM, LangChain, and MapReduce
Understand if company privacy policies can be understood more easily by combining summarization capabilities in foundation models and integration frameworks.
Reading the Minds of Central Bankers: Predicting Fed Funds Rate Changes Using NLP
Used machine learning (NLP) to predict rate changes purely from Central Bank meeting transcripts, iterating through a pipeline of multiple ML models. Significantly beat the industry benchmark.
View presentation | View code on GitHub
Ethereum Flow Predictor: Gazing into the Crypto Ball
Used Deep Learning to Predict Cryptocurrency Flows using Blockchain Data.
How AI Can Reduce Your Customer Churn
Customer churn is the loss of customers. It’s a key success metric for many businesses. It’s also important because from an economic perspective, it costs much less to keep customers than to get new ones.
A Search App to Find Programmers by City and Coding Language
Meet new people, hire your team.
Try It Out | View code on GitHub
Patents - Lead Inventor
- Systems and methods for managing privacy policies using machine learning: US Patent US11704439B2
- Systems and methods for tracking data shared with third parties using artificial intelligence-machine learning: US Patent 12045843B2
Articles
- A Step by Step Guide to Creating your Organization’s AI Playbook: Boat or Moat?
- My Journey of Creating, Extremely Munging, and Machine Learning Unstructured Data for Investing Decisions
Certifications
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Generative AI with Large Language Models, Amazon Web Services and DeepLearning.ai
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Google GenAI Intensive, Google
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Building Multi-Agent Systems, CrewAI
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