Hire James H. - AI Product Manager

* 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝗰𝘂𝘁𝘁𝗶𝗻𝗴-𝗲𝗱𝗴𝗲 𝗔𝗜 𝗮𝗻𝗱 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝘀𝗼𝗹𝘃𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝘃𝗮𝗿𝗶𝗼𝘂𝘀 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀. * 𝙆𝙚𝙮 𝙍𝙚𝙨𝙥𝙤𝙣𝙨𝙞𝙗𝙞𝙡𝙞𝙩𝙞𝙚𝙨: * Design and architect advanced AI and ML solutions tailored to specific client needs * Utilize best practices in product development and MLOps to ensure scalability and maintainability * Implement state-of-the-art machine learning models, including NLP, computer vision, and predictive analytics * Drive innovation through strategic integration of emerging technologies like large language models and generative AI * Manage the full lifecycle of AI products, from conception to deployment and maintenance

* 𝗟𝗲𝗱 𝘁𝗵𝗲 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝘀𝘂𝗽𝗽𝗹𝘆 𝗰𝗵𝗮𝗶𝗻 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝗺𝗮𝗻𝗮𝗴𝗶𝗻𝗴 𝗰𝗿𝗼𝘀𝘀-𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝘁𝗲𝗮𝗺𝘀 𝗮𝗻𝗱 𝗼𝘃𝗲𝗿𝘀𝗲𝗲𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 𝗼𝗳 𝗱𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀. * 𝙆𝙚𝙮 𝙍𝙚𝙨𝙥𝙤𝙣𝙨𝙞𝙗𝙞𝙡𝙞𝙩𝙞𝙚𝙨: * Led and mentored a team of 3 lead data scientists, fostering innovation and driving project success * Collaborated with key stakeholders to identify, prioritize, and align data science initiatives with business objectives * Managed the complete lifecycle of AI/ML products, from conception to deployment, utilizing MLOps practices in AWS * Developed scalable solutions for large-scale warehouse networks, integrating diverse data sources and cutting-edge technologies * Implemented Agile methodologies to ensure efficient project delivery and adaptability to changing business needs * Presented complex technical concepts and project outcomes to executive leadership, ensuring clear communication of value and ROI

* Wore multiple hats to include Data Scientist, Data Engineer, Product Manager/Owner, Backend/Frontend Developer to build internal products for KPIs, ml models for on-time delivery, planning and demand forecasting. * Partnered with internal stakeholders and SMEs to discovery problems within the operations and the manufacturing of integrated circuits, to build products that drive revenue and reduce cost. * Collaborated with supervisors, managers and executes to achieve the businesses strategic goals and initiatives. * As a data engineer created ETL/ELTs to move data from the production database (Oracle) to the data science/product database (Postgres) for development of data science products to include machine learning models, * As a data scientist developed and integrated machine learning with the Operations ERP system, for front line supervisors daily planning, managers oversight and director’s KPIs. * Develop a Data Mart to provide historic and current operations data for over 100 engineers through a python ETL * pipeline from an Oracle Database to a Postgres Database and creating a R Shiny Dashboard to extract the data, * reduced data requests times by over 2 weeks to instantaneous with a click of a button. * Forecast inventory demand and sold data to distributor along with over $10 million worth of excess inventory. * Lead Data Scientist that develops and grows the Data Science & Machine Learning team by motivating other data scientist to learn new skills and techniques to include automating their projects and keeping version control. * Advised both internal and external C-Suite executives on the internal use and benefits of machine learning and provide lunch and learns for engineers and managers over data science.