The 𝗔𝗜 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗠𝗲𝘁𝗵𝗼𝗱™: When you equip 𝘦𝘷𝘦𝘳𝘺 single employee to produce 𝘦𝘷𝘦𝘳𝘺 single role deliverable better, faster, and easier with AI, transformational productivity gains occur.▪️ Designing and delivering a comprehensive AI learning program for knowledge workers, covering eight progressive belt levels, from foundational AI skills to advanced AI tools and agents. ▪️ Training professionals to enhance personal productivity and business growth by mastering generative AI and AI-assisted workflows.▪️ Providing 1-on-1 and group coaching to CEOs, executives, and business owners, helping them seamlessly integrate AI into their operations to unlock transformative results.

The 𝗔𝗜 𝗣𝗥𝗢 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗦𝘆𝘀𝘁𝗲𝗺 combines methods of business growth, business scaling, and improving productivity to increase the value and stability of your business and your life.▪️ Enabling growth-focused business owners and CEOs to accelerate their business results and regain control over their time by leveraging AI solutions across all areas of their operations.▪️ Delivering AI training for professionals at all levels of technical understanding, ensuring AI is accessible and impactful across the workforce.▪️ Consulting on high-level research projects, providing AI-driven insights to solve complex strategic challenges.▪️ Developing custom AI chatbots and AI tools (GPTs) tailored to specific business needs, enhancing efficiency and customer experience.

𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁▪️ Spearheaded Patent Team of 5 data scientists and researchers. ▪️ Coordinated project documentation for the attorneys to apply for patents.▪️ Led brainstorming sessions with the Patent Team to invent the model to patent.𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 | 𝗜𝗻𝘁𝗲𝗹𝗹𝗲𝗰𝘁𝘂𝗮𝗹 𝗣𝗿𝗼𝗽𝗲𝗿𝘁𝘆▪️ Researched AI, Natural Language Processing (NLP), and related topics.▪️ Evaluated misconceptions in the English language using ideology from the Linguistic Justice movement for the company to adjust how they approach conversational AI.𝗣𝗮𝘁𝗲𝗻𝘁𝘀▪️ Inventor on patents in the field of Natural Language Processing (NLP). - Named Entity Recognition Using Capsule Networks - Named Entity Disambiguation Using Capsule Networks - System and Method for Nested Named Entity Recognition - Semantic Frame Identification Using Transformers𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 | 𝗘𝗱𝗶𝘁𝗶𝗻𝗴▪️ Wrote up patent concepts for the attorney, including providing detailed explanations of the patent and related concepts as required.▪️ Created diagrams using diagrams.net to illustrate the models.▪️ Wrote summaries of research papers in a research paper repository.▪️ Detailed editing of long-term vision and technical documents for customer communication.▪️ Extensive proofreading of the patent drafts.▪️ Wrote blog posts for company intranet explaining patent models and their purpose.

𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁▪️ Started as part of the Patent Team then moved to leading the 5 member team.▪️ Coordinated project documentation for the attorneys to apply for patents.▪️ Led brainstorming sessions with the Patent Team to invent the model to patent.𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁▪️ Researched Natural Language Processing (NLP) topics.𝗣𝗮𝘁𝗲𝗻𝘁𝘀▪️ Inventor on patents in the field of NLP. - Semantic Frame Identification Using Capsule Networks𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 | 𝗘𝗱𝗶𝘁𝗶𝗻𝗴▪️ Wrote patent concepts for the attorney, including providing detailed explanations of the patent and related concepts as required.▪️ Created diagrams using diagrams.net to illustrate the models.▪️ Wrote summaries of research papers in a research paper repository.

𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲▪️ Gathered and cleaned data on factors connected to competitors' hiring practices. ▪️ Built a model using R utilizing machine learning to determine when Intel competitors would be going into distress. Model was successful enough to warrant further development.𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻▪️ Condensed diversity research results into a presentation that could be understood by the general population at Intel.▪️ Presented to the HR data science team.

𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵▪️ Research project related to inertial confinement fusion at the National Ignition Facility (NIF) using magnetic field to try to achieve ignition. ▪️ Ran simulations and analyzed data from simulations. ▪️ Results showed projected improvement in energy yield by 3 orders of magnitude and predicted yield sufficient for ignition.𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻▪️ Presented results to LLN Laboratory staff at conclusion of internship.▪️ Presented results as a poster at the Midstates Consortium: Undergraduate Research Symposium in the Physical Sciences, Mathematics, and Computer Science in the Fall of 2014.