Michael W. Sherman

About Michael W. Sherman

I am a technical lead and software/machine learning engineer. I have over 10 years of…

Experience

1. Machine Learning Engineer

   Google

   Dec 2017 — Present

   Build custom production ML systems for Google Cloud customers; advise customers (up to C-level) on AI/ML strategy- Primary Spotify/Google AI/ML contact. Help Spotify execute their AI/ML strategy. Advocate for Spotify\'s needs to Google Cloud leadership- Large Language Model (LLM) model training and application building- Assess proposed AI projects for compliance with Google\'s AI Principles, including re-designing/re-architecting AI systems to mitigate AI fairness/AI bias risks- Built search tools to help US Patent and Trademark Office patent examiners ensure the validity of newly issued patents- Built an ML system that makes daily interest rate estimates for $4T of financial assets for a major bank. Led a team of six. After the project, customer spend grew +489% over six months, and the customer is becoming a Google Cloud public reference- Architected an ML-based pricing system for an e-commerce platform with $3B+ of annual purchases. Planned the $1M+ project to deploy the system. Expected additional profit from the system is $10M-$20M annually- Designed a Kubeflow/Kubernetes-based machine learning training and serving platform for a Fortune 100 manufacturer- Built an NLP system to extract facts (e.g, chemicals, dosage) from unstructured paper pharmaceutical documents into structured (SQL) data for a healthcare company with $100B+ in annual revenue- Wrote, with collaborators, three technical blog posts with over 30k views- Trained over individuals (Googlers and public) in topics including AI Fairness, NLP, Kubeflow, sequence models, and ML in production- Wrote and maintain Google-wide legal guidance on license compliance when using publicly available data.

Education

• Northwestern University

  Bachelor of Science, Communication, General

  1999 — 2003

• Texas McCombs School of Business

  Master of Science - MS, Information, Risk, and Operations Management

  2013 — 2014

Skills

• Sas
• Sql
• Business Intelligence
• Public Speaking
• Hadoop
• Business Analytics
• Linux
• Scikit-Learn
• Wordpress
• Os X
• Java
• Mapreduce
• Amazon Web Services (Aws)
• Microsoft Office
• Data Analysis
• Database Design
• Teaching
• Neo4j
• Finance
• Tableau
• Bash
• Project Management
• C++
• English
• Writing
• Analysis
• Grant Writing
• Spss
• Artificial Intelligence
• Matlab
• Cross-Cultural Communication Skills
• Training
• Marketing Research
• Access
• Statistics
• Analytics
• Social Media
• Bigtable
• Data Mining
• Natural Language Processing