• AI Solution Engineering & Deployment: Led the design, development, and deployment of an AI-driven enterprise solution, scaling its use across thousands of users, including state-level entrepreneurial communities across the U.S., ensuring optimized model performance and reliability.• Data-Driven User Insight Integration: Conducted 100+ customer interviews to extract critical data points, which informed model training and improved the system's ability to meet core business needs. Translated business and technical requirements into actionable machine learning and engineering objectives to enhance user satisfaction and retention.• Scalable AI Infrastructure: Architected a resilient, service-oriented system leveraging GCP serverless cloud microservices, NoSQL databases, and progressive web applications to ensure 99.9% uptime. Optimized model efficiency and infrastructure for peak and high-volume loads, focusing on data processing speed and load balancing.• Full-Stack Engineering & ML Ops: Engineered a robust tech stack supporting web and mobile platforms, from front-end interfaces to resilient back-end infrastructure, while implementing ML Ops best practices for seamless deployment, monitoring, and versioning of AI models.• Technical Leadership & Mentorship: Mentored a team of five junior engineers, focusing on developing their technical skills in AI and software. Enhanced team efficiency by 30% through collaborative code reviews, model performance assessments, and skill-building sessions in machine learning and data engineering.

• Led global teams in the ethical implementation of AI cloud systems ensuring transparency, accountability, data protection, and operational efficiency for Google, Cisco, and more.• Masterminded AWS-hosted CI/CD AI infrastructure for production-ready ML models and new data.• Slashed runtime of REST API implementation in Python on AWS EC2 from 20 minutes to 0.7 seconds, dramatically increasing the efficiency and usability of the platform.• Integrated cloud microservices with Salesforce, offering a comprehensive solution for data analytics.

• Led and evangelized monthly workforce retraining programs to upskill and reskill Scorpion's internal workforce to prepare them for an AI-centric job market and experience within the company. This included demystifying and de-stigmatizing AI and the use of AI within every day workflows.• Pioneered the governance and implementation of AI/ML reinforcement learning-automated marketing systems for Google search, Bing search, and Facebook ads. This resulted in 5-6 figures saved per client in wasted marketing money for 10k clients, a 75% boost in qualified leads, and a 95% boost in operational efficiency for Scorpion employees.• Reduced churn rate to 6% through AI automation systems

• Invented novel AI neural network architectures and methodologies for the DoD Army, Airforce, and other branches enabling unprecedented efficiency in government operations.• Achieved record-breaking results on state of the art AI computer vision algorithms on priority SBIR contract.• Built ethical AI models and pipelines for UAVs and embedded satellite systems using various Bayesian and neutral network computer vision algorithms, PyTorch, and Python, leading to a 90% improvement in operational efficiency• Wrote and presented 2 research papers as grant deliverables on out-of-distribution detection and meta learning at IEEE conferences

• Pioneered ethical data capture practices and ETL data flow for statistical research and analysis in the school of business using advanced analytical and software models of my own making. Python, Selenium, Beautiful Soup, Numpy, Pandas.

• Modeled the growth of stable n-dimensional mathematical graph and neural networks using Mathematica• Invented mathematical algorithms for AI/ML chaos theory, and graph networks; published the findings in a peer-reviewed, professional journal

• Implemented and architected ethical AI and advanced analytical models for the DoD Navy sector. • Automated the ETL for reporting of Naval buoy drift behavior, saving the company 100+ man-hours using MATLAB

• 3D CAD designed aesthetic essential oil diffusers for additive manufacturing processes. My work became the mantle piece for many homes.• The company was acquired by Scentsy 10 months later as a result of our success, manufacturing automation, foreign and local private-public partnerships, and their speedy customer acquisition.