David Von Dollen

• Co-founded Genovectra Technologies, focused on delivering high-impact AI software products and automation. • Advised clients on the research, design, development, and deployment of innovative AI solutions. • Provided thought leadership on AI topics, enhancing industry knowledge for startups and enterprises.

· Delivered software solutions at the intersection of Artificial Intelligence (AI), Data Science, the Internet of Things (IoT), and personal health and fitness applications. · Deployed machine learning algorithms for activity recognition and analysis on edge devices supporting over 40 movement types with over 95% accuracy in production environments, contributing to pre-launch sales of $750k+. · Created and deployed cloud architecture for MLOps machine learning model development and deployment. · Developed recommendation systems for recommending workouts based on user historical data. · Developed generative A.I. applications, allowing users to analyze their past workout histories with natural language. · Spearheaded data collection initiatives aggregating high-quality, large-scale movement data from motion capture systems and developed cloud architecture for data storage. · Co-authored provisional patents for intellectual property and company inventions. · Provided team leadership, strategic guidance, project management, and mentorship for direct reports and teams.

· Responsible for providing overall technical leadership to the company, including managing software engineering, data science, and IT security teams. · Served as the Principal Investigator for new research and development initiatives in partnership with agencies and organizations focused on topics such as Artificial Intelligence (A.I.), intelligent transportation, and quantum computing. Supported over $4 million in Request for Proposal (RFP) responses. · Technical lead for IT security, ensuring compliance during SOC2 audit. · Established IT governance, drafted policies, and developed plans for business continuity and disaster recovery, supporting Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO). · Focused on assessing and reducing operational costs by analyzing and optimizing pricing models and architecture for cloud compute loads. · Provided software solutions aimed at enhancing climate change resilience for transportation networks for both national and local government agencies. · Created the technology roadmap to synchronize with business objectives and introduced an Agile process to foster collaboration with commercial units, resulting in the improved refinement of product development and deployment. · Developed and executed technical strategies and resource allocation plans for business stakeholders and investors, while supervising an annualized IT budget exceeding $1 million. · Prototyped and deployed computer vision object detection and tracking algorithms and designed MLOps pipelines for significantly improving accuracy rates over established benchmarks. · Implemented significant product upgrades and released over 20 new features for the platform.

· Developed strategic planning encompassing technical architecture and project management lifecycle for developing and deploying A.I. applications. · Deployed A.I software applications to optimize labor resources for factory production lines. · Developed an A.I. quality control application that gathered survey data to create structured analyses searchable by machine learning. This enabled technicians to identify vehicle model issues and predict cross-model problems with shared components, ultimately reducing quality concerns. · Produced an AI application to assist dealers in evaluating the finances and incentives required for closing vehicle sales, predicting the appropriate incentive based on individual customer history. · Led the R&D research vision for Artificial Intelligence applications for enterprise data management within the Americas region for VW Group, including mentorship solutions and best practices for A.I. area leads. · Served as a reliable advisor and subject matter expert on A.I. to senior leadership within VW Group. · Identified key topics of IT innovation and research for VW Group focused on quantum computing and A.I. initiatives related to vehicle product modifications and deliverables. · Influenced and secured the budgeting required for further program development and stability. · Utilized a hybridized funding model, which supported phases of proof of concepts and production deployments between development and business teams.

· Researched and oversaw application development for the enterprise data management group, which encompassed Quantum Computing and AI teams dedicated to mobility, data science, machine learning, artificial intelligence, and quantum computing topics. · Provided essential strategic direction for the advancement of A.I. and quantum computing applications, specifically concerning business cases within marketing, finance, and strategy. Additionally, delivered advisory assistance to team members across diverse projects and initiatives. · Generated intellectual property for the VW Group in the fields of optimization, machine learning, and quantum computing, resulting in seven publications and three pending patents in the United States and the European Union. · Served as a founding member and area lead for the VW Group Quantum Computing Team.

· One of the very first Udacity Code Reviewers, providing feedback for student projects and submissions

· Directed data analytics efforts toward enhancing lead conversion, predicting customer churn, and forecasting demand in collaboration with Marketing and Big Data teams. · Developed a computer vision application for detecting damage on the vehicle exterior from cell phone camera data to facilitate service calls under the Audi on Demand program. · Engaged the Audi big data and strategy teams for prototyping, evaluating, and delivering production-ready machine learning models and analytics for business use cases

· Developed machine learning algorithms to increase relevancy in search ranking across WSI brands. · Developed and deployed machine learning algorithms for recommender systems for related products for WSI brand sites. · Participated in ongoing cross-department communication to meet emerging business objectives.

· Executed diverse responsibilities involving workers' compensation policies and claims, utilizing data mining, machine learning, and analytics to support the client services and marketing departments. · Served on the team handling all large accounts greater than $1 million in policy premiums. · Accountable for conducting analytics pertaining to claims and loss analysis for the top 50 customers with premiums exceeding $1 million. · Compiled data to construct risk projections against future premiums.

· Led all aspects of trade reconciliation, accounting, and analytics for client hedge funds · Managed accounting using Advent/Geneva, MS Excel, and MS Access to manage over $50 million combined assets for fund of funds.