Providing Machine Learning and Artificial Intelligence services and expertise. Areas of focus include: - ML/AI Model Development- ML/AI LLM Prompt Engineering- ML/AI System Software Development- ML/AI Team and Project Leadership- ML/AI Application Identification and Development- ML/AI Website (ml-science.com)

Member of Client Engineering within the IBM major clients sales organization.Focus on building data, machine learning models, and AI components for IBM client exploratory POC and MVP applications. Work with team members on the integration of data and ML models into application architectures, operations, user interfaces, and business impacts.

Provided Machine Learning consulting services to startup www.ester.ai on aspects including: - Agile/Scrum processes. - Design of Machine Learning database structures and elements. - Development of Machine Learning image recognition models. - Architecture of a Machine Learning model development and deployment platform.Developed methods and templates to support Data Science, Machine Learning and Artificial - Intelligence initiatives, including aspects such as: - Data Management including elements such as: data pipelines, data normalization, and databases. - Analysis of Machine Learning model training data and prediction processing results. - Machine Learning model design, development, and refinement. - Management of projects using methods such as Agile and Scrum. - Communication of key concepts to management, stakeholders, and team members. - Tracking and measurement of key results.Authored The Science of Machine Learning website: www.ml-science.com, which includes aspects such as: - Over 200 topic web pages in topic groups including: Calculus, Computing Systems, Data, Graphs, Linear Algebra, Models and Modeling, Organization, Probability, Programming Constructs, Statistics, and Trigonometry. - Concise descriptions and graphics. - Mathematical formulas. - Python code examples.

Hired as the first Machine Learning/AI expert in the company, reporting to the CTO.Developed a vision and overall plan for Machine Learning development and deployment.Evangelized Machine Learning throughout the company.Consulted across multiple teams on Machine Learning initiatives.Initiated and led all Machine Learning projects.Progressed from the initial zero ML/AI systems to production systems with high levels of accuracy in areas such as: Churn Prediction, Service Signup Option Recommendation, and Service Signup Payment Recommendation.Worked with the company president and leadership team on aspects such as:- Understanding Machine Learning and AI technology. - Identifying Machine Learning applications. - Supporting the demonstration of Machine Learning capabilities to customers and at trade shows.- Reporting progress on key Machine Learning initiatives.Built, managed, and participated in a cross-functional Machine Learning team, including:- Model development, testing, and deployment. Models included: patternrecognition, recommendation engine, NLP/chatbot dialog.- Platform development.- Marketing and Sales support.- User Interface specifications and development.- DevOps processes and support.- Workbench and production server development and deployment.- Global deployment strategies and methodologies.- Network monitoring.- Methods of using probability and statistics to evaluate model performance.- Agile Scrum methodologies, meetings, and reporting.Developed a Machine Learning platform, including:- Microservices based architecture.- Python code.- Plug and play implementation of ML algorithms such as TensorFlow neural networks.- API REST servers and interfaces.- Cloud server independence (can run on any cloud provider server hardware).- Workbench and production server compatibility.- MongoDB database for storing information on components including: models, model training, applications, prediction results, data features.

Telmate was acquired by GTL.Was the first Machine Learning/AI expert in the company.Developed a vision and overall plan for Machine Learning development and deployment.Evangelized Machine Learning throughout the company.Consulted across multiple teams on Machine Learning initiatives.Initiated and led all Machine Learning projects.Progressed from the initial zero ML/AI systems to production systems with high levels of accuracy in areas such as: Progressed from the initial zero ML/AI systems to production systems with high levels of accuracy in areas such as: Image Recognition to screen for prohibited content and Facial Recognition to verify user logon validity.Worked with the company president and leadership team on aspects such as:- Understanding Machine Learning and AI technology. - Identifying Machine Learning applications. - Supporting the demonstration of Machine Learning capabilities to customers and at trade shows.- Reporting progress on key Machine Learning initiatives.Built, managed, and participated in a cross-functional Machine Learning team, including:- Model development, testing, and deployment.- Platform development.- Marketing and Sales support.- User Interface specifications and development.- DevOps processes and support.- Workbench and production server development and deployment.- Global deployment strategies and methodologies.- Methods of using probability and statistics to evaluate model performance.- Agile Scrum methodologies, meetings, and reporting.Developed a Machine Learning platform, including:- Microservices based architecture.- Python code.- Plug and play implementation of ML algorithms such as TensorFlow neural networks.- API REST servers and interfaces.- Cloud server independence (can run on any cloud provider server hardware).- Workbench and production server compatibility.- MongoDB database for storing all ML related information.

Developed mobile device software defined network adaptive messaging: - Messaging system for monitoring and managing internet traffic. Work on this project included:- System design.- Performance data analysis.- Android Java software development.

- Authored an Android software development course including Java code: Learning Android App Programming.- Authored an HTML5 book including Javascript code: HTML5 Canvas for Dummies.- Developed a Machine Learning recommendation system for suggesting musicians based on their music and skillset.

Since purchased by Nokia.Developed and managed software and business development projects in Sao Paulo and Curitiba Brazil. Clients included large telecommunications companies. Projects included markets analysis, services development and management training.

Provided consulting services in international markets including Europe and South America.

Developed and implemented software systems for a variety of applications.