Gregg W. Casey Email & Phone Number

New York, Ny, Us

Hedge Fund Insights for the Retail Investor - AI Powered by Human Intelligence

San Francisco, California, Us

- Leading local meetups for the New York City area.- Creating content in Deep Learning, Transformers, Generative AI, and Leadership.

• Presented to a major pharmaceutical company on AI, Generative AI (LLMs), and Pharma AI leadership use cases.• Advised an early-stage startup focusing on SalesGPT, fine-tuning LLMs, prompt engineering, Capacity solutions, etc.• Building a Generative AI (LLM) solution to disrupt the recruiting industry. (Langchain, GPT3/GPT4)• Building a Generative AI Newsletter builder for an existing successful financial publication using LLMs, OpenA, GPT3.5/GPT4, Langchain, etc.

Roseland, New Jersey, Us

AI Engineer Directing Transformative NLP Solutions (consulting)• Directed my team in building a Document AI Deep Learning product that accepts any document as a form, extracts all data (including PII) and returns it as structured data. Our product exceeds business performance requirements and is on target to improve validation by at least 200%. The product is designed to handle thousands of API calls per day using an architecture consisting of an API-based microservice built on Kubernetes using Helm, Jenkins, CI/CD, Gunicorn, AWS EC2, S3, etc.• Led the build of a data generator that takes 90% of the resource-intensive work out of data creation (synthetic data) and annotation, resulting in a tool that provides the necessary and extensive data we need to train our models.

Redwood Shores, Ca, Us

Led AI, machine learning, data science, and analytics products for global, large-scale clients in industries including retail, manufacturing, financial, healthcare, pharmaceutical products, and accounts.• Supported Bristol-Myers Squibb, Janssen, AstraZeneca, IQVIA, Sanofi, Mallinckrodt, Fulton Bank, Loreal, IFF, Advance Auto Parts, TruGreen, etc.• Led the design and build of an easily-extensible cloud-based real-time pub/sub product that allows customers to execute Machine Learning Models and Data Science in real time.• Led a team to build out a Machine Learning and analytics framework for Reltio’s DataBricks/Spark/Scala analytics product used by all partners/customers.• Led a team that built a Machine Learning algorithm to detect customer escalations before they happen, predict alternate supply chain sources, sentiment analysis, etc with Random Forest, Transformers, etc

Redwood Shores, Ca, Us

Led machine learning, data science, and analytics products for global, large-scale clients in industries including retail, manufacturing, financial, healthcare, pharmaceutical products, and accounts.• Led a team creating machine learning initiatives in modern data management, bringing our customers beyond MDM into a new generation of data-driven management.• Led application products for specific pharmaceutical industries that allowed customers to quickly launch Big Data, GDPR-compliant MDM solutions in as little as three months.• Led the team that built Reltio Life Sciences Product 360; collaborating with teams from the life sciences industry, sales and engineering and incorporating SPOR/ISO IDMP standards.• Led a company-wide team to develop a master process and documentation to facilitate smoother SaaS implementations for clients. This process decreased implementation mistakes by an estimated 75%.• Led teams in developing and launching new features and applications to help organizations move away from legacy on-premise operations to SaaS, Cloud-based solutions, leveraging master data management, machine learning and AI. • Authored white papers and educational materials for partners and clients.

Redwood Shores, Ca, Us

I was chosen to lead our partner team as they built and deployed their cloud-based SaaS products. These products successfully won six of the top ten global pharmaceutical companies.

Led technical and business professionals in implementations for major pharmaceutical, service, and retail companies, leveraging extensive knowledge and experience in MDM, Data Quality, and Data Warehouses.• Supported BMS, Janssen, AtraZeneca, IQVIA, Pfizer, GSK, Merck, Forest Laboratories, Novo Nordisk, Quest Diagnostics, Waste Management, Subway, Teach For America, Foundation Center• Innovated a new "entity-style" MDM data models and integrations.• Improved GSK's critical function performance by 50% with strategic MDM functions and built new programs for massive data requirements.• Led tech & business teams to complete an MDM implementation in less than 50% of the standard time.• Led the architecture and build of two critical MDM systems for Waste Management• Led Merck Pharmaceutical’s MDM strategic planning and championed their corporate efforts to launch the Identity Hub.• Recruited by Teach for America to lead their MDM and Data Governance capabilities for a large multi-functional team.