Richard Kerr, Ph.D.
CXO | CAIO
California, United States
Skills
Technical Project Management
Python
Microsoft SQL Server
AWS (Amazon Web Services)
GCP (Google Cloud Platform)
Snowflake
Tableau
Power BI (Microsoft)
Jira (Atlassian)
Microservices
Natural Language Processing (NLP)
Artificial Intelligence (AI)
Machine Learning (ML)
About
Richard Kerr is a highly skilled Chief AI Officer with over 20 years of experience in the field. He has expertise in AI, analytics, anomaly detection, and automation. Richard has a strong background in biology, pathology, and molecular medicine, which he has successfully applied to develop innovative solutions in the healthcare industry. He is proficient in data science, machine learning, and computer vision, with significant experience in developing prediction models and prototypes. Richard has a track record of driving financial analytics and forecasting, as well as optimizing supply chains and revenue management. He has a strong leadership background and has successfully raised capital for his organizations. Richard holds an MBA in Business Analytics & Finance from The Wharton School, University of Pennsylvania, a PhD in Pathology from the University of Georgia, and a BS in Biology and Psychology from Virginia Polytechnic Institute & State University. Currently, Richard is serving as the Chief AI Officer at Spodio Group in San Jose, where he has contributed to the development of cross-platform machine learning applications and significantly reduced operational costs through AI automation.
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Portfolio
Work Experience
Chief Technology Officer
Quuery Text Analytics
January 2018 - Present
- Patented (2 patents) a novel cognitive ML-NLP Keyword Engine driving customer engagement 50.5X and purchase intent 9.4X. Improved the Engine's throughput by 48X documents/second.
- Led the global team to develop and launch B2C and B2B fully autonomous cloud-native microservice data products capable of servicing 10,000 simultaneous users.
- Re-engineered Quuery's core Keyword Engine to provide high-fidelity data to Generative AI solutions (GPT3, GPT4) to improve candidate quality and throughput.
Chief AI Officer
Spodio Group
January 2022 - Present
- Developed cross-platform GPT3 and GPT4-enabled machine learning applications supporting a higher company valuation while raising capital.
- Architected and built prototypes for all SPODIO's platform data products deployed on cloud; BettorView, Bespoke Engine, Social Listening, News Monitor, TraderSpec (Crypto), and the Social Card Image pipeline.
- Reduced operations scaling costs by $5Mn via AI automation in Design (computer vision), Trading (decision support & anomaly detection), and Revenue (Recommendation Engine).
Lead/Director, Data Science (Global & eCommerce)
PepsiCo
January 2020 - December 2022
- Partner closely with global cross-functional leadership across data engineering, MLOps, product, business & functional leaders to drive $1.8Bn+ in accretive value.
- Formulated the 5-year plan and technical specification of a rapidly expanding ecosystem of ML products across Market Mix Modeling, Last-touch, and multi-touch Attribution, Search Marketing Bid Automation, Net Revenue Management, Demand Forecasting, Automated Order Routing, Supply Chain Optimization, Workforce Planning, Recommender Systems, IoT Fleet, Web, and Product Analytics.
- Won the Chairman's award and 2 Best Achievement in Media (BAM) awards.
Laboratory Manager (Director & Chief Scientist)
Daisy Farms
January 2014 - December 2018
- Developed a Deep Neural Network (DNN) embedded testing program that decreased facility annual operating costs by $14.5Mn, reduced antibiotic use by 90%, and improved treatment effectiveness from 54% to 98%.
- Designed a 48-hour Next Generation Sequencing (NGS) lab procedure and data pipeline capable of detecting 1.2 million pathogens from a single sample.
- Grew the lab to 250K+ orders per year, 4 diagnostic laboratories with best-in-class performance metrics.
Chief Data Scientist
The Biolyon Group
January 2011 - December 2014
- Derived strategic market insights from capital flow prediction models tracking $1.2 trillion in assets.
- Delivered VC investment landscape insights from NLP analysis of industry research & model insights.
Regional Laboratory Manager
IDEXX Reference Labs
January 2013 - December 2013
- Increased EBIDA by $2.3Mn, gross margin from 29% to 46%, and revenue by 17% to >$11Mn.
- Improved quality (9% decrease in defects per million opportunities, DPMO), reduced overtime (51%), and lost sick time (77%) by building an advanced financial forecasting and workforce planning model. Rolled out to 22 facilities nationwide.
- Serviced high-profile clients including the Walt Disney Company, Busch Gardens, and SeaWorld Parks.
Laboratory Manager
The University of Georgia
January 2008 - December 2011
- 7 publications in the scientific literature through a predictive molecular interaction model.
- Designed the financial analytics pipeline and opened the facility 34% under budget.
Laboratory Supervisor
Center for Molecular Medicine & Infectious Disease
January 2004 - December 2008
- Deployed an analytics pipeline automating the production of publication-quality graphs, statistical test selection, and user-friendly interpretation increasing publication velocity by 24%.
Education
The Wharton School, University of Pennsylvania
MBA
University of Georgia
PhD
