Thomas S.
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Thomas S.

Technical leader at a company AI Core

7 years of experience

Germany 🇩🇪
English (C1)

Short bio

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

Tech stack

Main technologies
LeadershipMentorshipGenerative AIPyTorchScikit-learnKubernetesHelmDockerArgoCDPythonGoTypeScriptSwiftUIJavaCI/CDREST APIsMicroservicesAzureAWSGoogle Cloud

Work experience

  • Engineering Lead & Product OwnerSince 07/2024

    Engineering Leadership: Led a cross-functional team to deliver Gen AI platform services (Orchestration, Prompt Registry); fostered team autonomy and technical direction through influence.

    Responsibilities:
    • Platform Engineering: Replaced an over-weighted internal SDK with a tailored alternative, cutting dependencies by 50% and eliminating security scan failures that were blocking releases.
    • Technical Product Execution: Translated strategic AI goals into scalable, production-ready features while balancing delivery velocity with technical debt.
    • Innovation & Research: Spearheaded prototyping and supervised a Bachelor thesis on Agentic AI to assess emerging opportunities for the Gen AI platform.
    • Community & Representation: Represented the unit and a company Business AI in customer briefings and community events to communicate platform vision and value.
  • Senior AI Developer01/2024 - 06/20245 m.

    Architectural Leadership: Led the design and development of cloud-native components for MVS releases, ensuring system scalability and improved developer experience.

    Responsibilities:
    • Technical Mentorship: Promoted technical excellence by facilitating architectural whiteboard sessions and mentoring engineers through complex threat modeling and cross-team communication.
    • Risk & Delivery Management: Successfully managed project risks and technical dependencies in an ambiguous, high-pressure environment to deliver core AI platform services.
    • Strategic Guidance: Contributed to company-wide architectural standards for LLM-integrated cloud applications, bridging the gap between R&D and production-grade software.
  • Associate & Specialist AI Developer08/2021 - 12/20232 y.

    Continuous Improvement: Conceptualized and implemented a proxied development module as a side project; significantly reduced onboarding time and improved development efficiency across the engineering org.

    Responsibilities:
    • Technical Mentorship: Guided and mentored students and fellows of varying skill levels, fostering growth and knowledge sharing within the AI Core team.
    • Scalable Engineering: Contributed to key platform milestones, including multi-cluster scaling and the architectural integration of RAG and LLMs into central workstreams.
    • Cloud-Native Development: Developed and optimized AI platform components using Python, Go, and Kubernetes, ensuring high performance and reliability for foundational services.
  • Software & Data Engineering06/2017 - 07/20214 y.

    Software & Data Engineering: Developed and deployed data science solutions and predictive analytics tools using Python, Java, and Kubernetes across automotive, consulting, and startup environments.

    Responsibilities:
    • Agile Collaboration: Participated in cross-functional teams leveraging Scrum methodologies to deliver quality software and analytical insights for internal stakeholders.
    • Data Infrastructure: Optimized data processing environments and databases to support product management and strategic business objectives.
    • Continuous Learning: Progressed through diverse industries (FinTech, PropTech, Auto), gaining a broad perspective on applying technical solutions to varied business challenges.
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