My Career Journey

Exploring my professional path and achievements in AI, technology, and innovation

Career Timeline

About Me

I'm a product engineering leader with a passion for solving hard problems at the intersection of AI, automotive technology, and scalable platforms. Currently serving as Director of Product Engineering at SDVerse, I'm shaping the roadmap of the automotive industry's first B2B software marketplace and building cutting-edge AI features that connect OEMs, Tier-1 suppliers, and innovators across the globe.

My career has been defined by transforming ambitious ideas into production-ready systems. At Ford Motor Company, I led the development of Mach1ML, Ford's enterprise machine learning platform, where I optimized deployment efficiency by 50% and architected AI-powered solutions that directly supported executive decision-making. From earnings call helpers using agentic RAG technology to data quality inference engines, I've consistently bridged the gap between cutting-edge AI research and practical business value.

Beyond my corporate work, I'm deeply committed to leveraging technology for social impact. As a volunteer Technical Leader and Generative AI architect at 3IE (International Initiative for Impact Evaluation), I am currently designing RAG powered chatbots that make development research more accessible to policymakers and practitioners worldwide.

I'm recognized as a Qdrant Star for my contributions to semantic search technology, an IEEE Senior Member, and a frequent speaker at major industry conferences including AutoSens, InCabin USA, and IEEE Cloud Summit. My technical writing has reached over 100,000 views across platforms like DZone, where I explore topics ranging from MLOps in software-defined vehicles to AI governance frameworks.

With an MS in Computer Science from Northern Illinois University and an Executive MBA from Oakland University, I bring both technical depth and strategic business acumen to every challenge. I serve on the AI Council for the Oakland School of Business and as program chair for AI tracks at leading conferences, helping shape the conversation around responsible AI adoption in automotive systems.

Currently, I'm working on several passion projects including DFS Prophet, an AI-powered NFL fantasy sports optimization engine, and automotive research agents using CrewAI. I'm always exploring new ways to push the boundaries of what's possible with AI.

Whether I'm architecting ML platforms, speaking at conferences, or contributing to open-source projects, I'm driven by a simple belief: the most powerful technology is the kind that empowers people to make better decisions and build better products.

Skills & Expertise

AI & Machine Learning

Qdrant (Vector Database & Semantic Search)LangChain & LangGraphCrewAI (Multi-Agent Systems)OpenAI API & Claude APIRAG (Retrieval-Augmented Generation)Agentic AI ArchitecturesMLOps & Model DeploymentPrompt Engineering & Context EngineeringFine-tuning & Model OptimizationEmbedding Models & Vector SearchAI Governance & Compliance Frameworks

Programming & Development

Python (Primary)JavaScript/TypeScriptFastAPINode.jsFull-Stack DevelopmentAPI Development & IntegrationCI/CD PipelinesDevOps & InfrastructureMicroservices Architecture

Cloud & Platforms

AWS (Lambda, EC2, S3, SageMaker)AzureGoogle Cloud PlatformKubernetesDockerTerraformServerless ArchitecturesCloud-Native Development

Data Engineering & Analytics

SQL & NoSQL DatabasesPostgreSQLMongoDBData Pipelines & ETLData Quality EngineeringAnalytics PlatformsBusiness IntelligenceApache SparkData Modeling

Automotive & IoT

Software-Defined Vehicles (SDV)Connected Vehicle SolutionsAutomotive AI SystemsEmbedded SystemsCompliance & Safety Standards (ISO 26262, SOTIF)

MLOps & Platform Engineering

Model Versioning & RegistryExperiment Tracking (MLflow, Weights & Biases)Model Monitoring & ObservabilityFeature StoresA/B Testing FrameworksModel Deployment PipelinesInfrastructure as Code

Development Tools & Practices

Git & GitHub/GitLabJira & Agile/ScrumSystem Architecture DesignTechnical DocumentationCode Review & Quality AssuranceTest-Driven DevelopmentDesign Patterns

Frameworks & Libraries

Pandas & NumPyScikit-learnTensorFlow & PyTorchStreamlitFlaskPydanticPoetry & UV (Dependency Management)

APIs & Integrations

REST APIsGraphQLWebSocketsThird-Party API IntegrationMCP (Model Context Protocol)OAuth & Authentication

Business & Strategy

Product Roadmap DevelopmentStakeholder ManagementTechnical LeadershipCross-Functional Team CollaborationOKR & KPI Framework DesignStrategic PlanningTechnical Writing & Communication