21.07.2025 aktualisiert
Premiumkunde
100 % verfügbarPrincipal AI & Data Platform Architect
Eschborn, Deutschland
Deutschland
Specialty: Computer System And Networks: BachelorSkills
AI & Data Platforms LLM LLM Agents.NETASP.NET Core Python JavaArchitecture GovernanceAI / Data StrategySystemgestaltungAzureaws NebiuskubernetesRunPodFAST APISpringAPI managementAWS API GatewayKongRabbitMQCeleryAzure & AWS PaaS ServicesSpark Kafka Hive Databricks dbt NiFi NoSQL / SQL Azure & AWS PaaS services Airflow Hadoop OpenAInlp CV ClearML MLFlow Kubeflow
15+ years architecting and delivering complex AI/Data/Cloud/Integration/SaaS platforms for 500 Fortune clients & startups.
● Successfully defined and executed AI & Data technology strategies, directly aligned with C-level.
● Provided architectural & technical leadership for global, cross-functional teams (80+ members), driving large-scale initiatives.
SKILLS
AI / Data Strategy, Leadership, Problem Solving, System Design, Architecture Governance, AI & Data Platforms, Data Mesh,
Lakehouse, Data Fabric, Data Governance, Microservices, Event-driven, Integrations, Multi-Cloud & Distributed Systems, Cloud
Agnostic Solutions, MLOps / DataOps / DevSecOps / FinOps, Engineering Management, Engineering Excellence, Agile
Methodologies, Cross-functional Team Leadership, Stakeholder Management, Public Speaking, Community Building
TECHNOLOGY:
● Cloud / Infra: Azure, AWS, Nebius, Kubernetes, RunPod
● API: Fast API, Spring, ASP.NET Core, API Management, AWS API Gateway, Kong
● Message Brokers: RabbitMQ, Kafka, Celery, Azure & AWS PaaS Services
● Data: Spark, Kafka, Airflow, dbt, NiFi, Hadoop, Databricks, Azure & AWS PaaS services, NoSQL / SQL, Hive
● AI: NLP, LLM, LLM Agents, CV, MLFlow, Kubeflow, ClearML, OpenAI, Azure & AWS PaaS services
● Programming: .NET, Java, Python
● Successfully defined and executed AI & Data technology strategies, directly aligned with C-level.
● Provided architectural & technical leadership for global, cross-functional teams (80+ members), driving large-scale initiatives.
SKILLS
AI / Data Strategy, Leadership, Problem Solving, System Design, Architecture Governance, AI & Data Platforms, Data Mesh,
Lakehouse, Data Fabric, Data Governance, Microservices, Event-driven, Integrations, Multi-Cloud & Distributed Systems, Cloud
Agnostic Solutions, MLOps / DataOps / DevSecOps / FinOps, Engineering Management, Engineering Excellence, Agile
Methodologies, Cross-functional Team Leadership, Stakeholder Management, Public Speaking, Community Building
TECHNOLOGY:
● Cloud / Infra: Azure, AWS, Nebius, Kubernetes, RunPod
● API: Fast API, Spring, ASP.NET Core, API Management, AWS API Gateway, Kong
● Message Brokers: RabbitMQ, Kafka, Celery, Azure & AWS PaaS Services
● Data: Spark, Kafka, Airflow, dbt, NiFi, Hadoop, Databricks, Azure & AWS PaaS services, NoSQL / SQL, Hive
● AI: NLP, LLM, LLM Agents, CV, MLFlow, Kubeflow, ClearML, OpenAI, Azure & AWS PaaS services
● Programming: .NET, Java, Python
Sprachen
Englischverhandlungssicher
Projekthistorie
An international venture builder company, with products in Retail, Sports, Medicine, Web3 & AI.
● Successful execution of AI strategy for 70+ members organization, partnering with C-level to achieve business goals.
● Management of a 8-member architecture team, defined architecture strategy for 9 AI & Data solutions, examples:
○ AI search platform utilizing LLMs fine-tuning, LLM multi-agent framework & integration with social media platforms.
○ Computer vision platform, designed to identify individuals, analyze their emotions, behavior & detect dangerous assets.
○ AI platform based on conversational AI automating initial customer engagement via messengers & social networks.
○ AI Models Marketplace offering cost-effective inference of open-source AI models on a serverless GPU infrastructure.
○ SaaS platform utilizing GenAI to deliver personalized and dynamic image content for e-commerce advertising.
● Led the implementation of a corporate AI/Data platform, optimizing operational efficiency by 25% for AI solutions delivery.
● Achieved 40% cloud cost savings through strategic GPU cloud partnership and the implementation of FinOps best practices.
● Successful execution of AI strategy for 70+ members organization, partnering with C-level to achieve business goals.
● Management of a 8-member architecture team, defined architecture strategy for 9 AI & Data solutions, examples:
○ AI search platform utilizing LLMs fine-tuning, LLM multi-agent framework & integration with social media platforms.
○ Computer vision platform, designed to identify individuals, analyze their emotions, behavior & detect dangerous assets.
○ AI platform based on conversational AI automating initial customer engagement via messengers & social networks.
○ AI Models Marketplace offering cost-effective inference of open-source AI models on a serverless GPU infrastructure.
○ SaaS platform utilizing GenAI to deliver personalized and dynamic image content for e-commerce advertising.
● Led the implementation of a corporate AI/Data platform, optimizing operational efficiency by 25% for AI solutions delivery.
● Achieved 40% cloud cost savings through strategic GPU cloud partnership and the implementation of FinOps best practices.
AI-driven optimization solution for renewable energy projects, enhancing the early-stage planning of wind & solar farms placement through the analysis of meteorological data, market prices, assets configurations and other datasets.
● Defined and implemented platform technology strategy and architecture, leading a globally distributed team of 25+ members.
● Spearheaded the scaling of an initial AI-driven MVP into a robust, cloud-based platform, culminating in its successful acquisition by a global energy provider.
● Reduced infrastructure costs (>50%) through a strategic migration to AWS PaaS as well as drove a doubling of system performance and enabling system elasticity via targeted technology strategy.
● Defined and implemented platform technology strategy and architecture, leading a globally distributed team of 25+ members.
● Spearheaded the scaling of an initial AI-driven MVP into a robust, cloud-based platform, culminating in its successful acquisition by a global energy provider.
● Reduced infrastructure costs (>50%) through a strategic migration to AWS PaaS as well as drove a doubling of system performance and enabling system elasticity via targeted technology strategy.
Multiple companies and contracts spanning over 10 projects & 2 companies during 7 years in Healthcare, FinTech, Manufacture,
Automotive, IoT & other domains.
● Designed & engineered scalable cloud-based, multi-tenant platforms, examples:
○ User loyalty system for international payment service serving 12M+ users over 10+ countries
○ Vehicle data platform connecting 100K+ vehicles and car owners via IoT devices and mobile app
○ Accounting web platform serving 75K+ legal entities & 5K+ concurrent users
○ Complex hospital record management software serving 10K+ hospitals
● Leveraged cloud-based stress testing, fitness functions and chaos engineering to ensure system performance and reliability.
● Led distributed engineering teams to successful project delivery by translating requirements into well-defined architectures.
Automotive, IoT & other domains.
● Designed & engineered scalable cloud-based, multi-tenant platforms, examples:
○ User loyalty system for international payment service serving 12M+ users over 10+ countries
○ Vehicle data platform connecting 100K+ vehicles and car owners via IoT devices and mobile app
○ Accounting web platform serving 75K+ legal entities & 5K+ concurrent users
○ Complex hospital record management software serving 10K+ hospitals
● Leveraged cloud-based stress testing, fitness functions and chaos engineering to ensure system performance and reliability.
● Led distributed engineering teams to successful project delivery by translating requirements into well-defined architectures.