About Me

Combining American technical innovation and German engineering precision: I bring systems thinking and a production focus to regulated, high-stakes industries with ambitious technical challenges.

Professional Journey

My path to data science leadership began with a simple realization: the most impactful technology bridges the gap between what's technically possible and what actually solves real problems. Starting as an automation engineer in US manufacturing, I learned to translate complex systems into measurable business value—a skill that became the foundation of everything that followed.

As I evolved through analytics and data science roles, I discovered my strongest impact comes not just from building sophisticated models, but from orchestrating entire technical teams and stakeholder ecosystems around data-driven solutions. Whether designing IoT systems for manufacturing, optimizing healthcare data pipelines, or implementing NLP solutions for financial services, my focus remained consistent: connecting technical depth with strategic business outcomes.

This trajectory naturally led me to Germany. The intersection of Europe's energy transition, Industry 4.0 initiatives, and the DACH region's commitment to engineering excellence creates unique opportunities for ML applications that demand both innovation and reliability. Having established my technical foundation in the US, I'm now strategically positioned to help German companies scale AI initiatives while meeting the quality and compliance standards that define success in European markets.

Why the DACH Market?

My relocation to Germany represents more than a geographic change—it's a strategic career decision driven by market opportunity and personal commitment. Germany's leadership in renewable energy and industrial automation creates demand for ML engineers who can bridge Silicon Valley innovation with German engineering rigor.

Based in the Bodensee region, I'm positioned at the intersection of three major tech ecosystems:

• Munich: Bavaria's AI and automotive innovation hub
• Zurich: Swiss fintech and precision engineering
• Stuttgart/Konstanz: Industrial automation and manufacturing technology

This tri-national corridor offers unique perspectives on how American technical approaches can adapt to European market requirements and regulatory frameworks.

Technical Leadership Philosophy

I've built my career on the principle that successful ML systems require more than excellent algorithms—they demand clear stakeholder communication, systematic risk management, and architectures that scale with business growth. My approach combines:

• Systems Thinking: Designing ML pipelines as integrated business systems, not isolated technical solutions
• Cross-Functional Leadership: Building alignment between data science, engineering, and business stakeholders
• Production Focus: Prioritizing deployable, maintainable solutions over research-oriented experimentation
• Cultural Bridge-Building: Leveraging international experience to facilitate collaboration across diverse teams

Quantified Impact

Production ML Systems

• Energy optimization systems achieving measurable grid stability improvements
• Healthcare analytics reducing readmission prediction errors by 36%
• Manufacturing IoT implementations delivering multi-million dollar annual value
• Sub-30-second processing architectures handling thousands of concurrent operations

Team & Process Leadership

• Led cross-functional teams through complete ML deployment cycles
• Established MLOps practices reducing model deployment time by 60%
• Mentored data science practitioners and taught technical bootcamp curricula
• Designed stakeholder communication frameworks bridging technical and business domains

Role Positioning

Senior Data Scientist: My technical foundation in distributed computing, deep learning, and cloud platforms enables tackling complex problems with production-ready solutions. I apply domain expertise to deliver robust, scalable systems that drive quantifiable business value.

Data Science Manager: Having led communities of practice and mentored emerging practitioners, I focus on building high-performing teams, establishing technical standards, and creating organizational structures that enable predictable delivery of data science excellence.

Technical Product Manager: My background uniquely positions me to translate between technical possibilities and business requirements. I guide products from conception through delivery, ensuring solutions are both technically sound and aligned with user needs and strategic objectives.

Cultural Integration & Language Development

Language Proficiency

• German: B2 advancing to C1 (business fluency target: mid-2025)
• English: Native professional fluency
• Technical Communication: Developing German technical vocabulary through active participation in local ML/data science communities

Regional Integration

• Actively building professional network across Bayern/Baden-Württemberg corridor
• Engaged with local tech meetups and industry associations
• Committed to long-term career development within German business culture

Commitment to German Market Success

My move to Germany reflects both strategic career opportunity and deep personal commitment through family ties. This dual foundation ensures genuine long-term dedication to building my professional future within German business culture. My international background enables me to:

• Navigate cultural differences between global and German team dynamics
• Apply US-scale technical thinking within European regulatory and business constraints
• Translate between international stakeholder expectations and local market requirements
• Bridge Silicon Valley innovation speed with German thoroughness and quality standards

Development Goals

• Technical Leadership: Building and scaling ML teams within DACH market business culture and technical standards
• Language & Cultural Mastery: Achieving full professional fluency in German technical and business communication
• Sustainability Focus: Developing AI solutions that directly support climate protection and energy transition initiatives
• Continuous Innovation: Staying at the forefront of ML developments while maintaining focus on production-ready, business-impact-driven solutions

Education & Credentials

• Master of Science: Information Management, University of Washington
• Bachelor of Science: Polymer & Fiber Engineering, Georgia Institute of Technology
• Professional Certifications: AWS Solutions Architect, Google Cloud Professional ML Engineer
• Continuing Education: Active participation in latest ML research and German business practice development

Personal Perspective

My interest in applying advanced technology to solve complex, real-world challenges drew me to the DACH region—where precision engineering meets cutting-edge innovation across aerospace, healthcare, and energy sectors. I'm convinced that responsible AI development is key to advancing human capabilities while maintaining the rigorous safety and quality standards that define European industrial excellence.

Living in the Bodensee region provides daily inspiration from the intersection of natural beauty and technical innovation that defines this part of Europe. Whether it's Airbus engineering in nearby France, Swiss pharmaceutical research, or German renewable energy initiatives, this region demonstrates how advanced technology can enhance rather than diminish the world we're building for future generations.

Interested in collaboration?

Let's discuss how we can solve complex challenges together.