Engineered a realtime shipment processing system utilizing evolutionary architecture and data?oriented serverless principles; achieved a 40% reduction in processing time and improved scalability by 50% within 6 months while removing 90% of technical debt and shrinking the code base by 50%
Processed and analyzed large quantities of geolocation data; implemented unique algorithms for enhanced visualization, improving data interpretation speed by 35%
Designed, implemented, and monetized REST, GraphQL and gRPC APIs using Go, Kotlin and Python, resulting in a 20% rise in revenue
Executed infrastructure?as?code DevOps, responsible for achieving SOC 2 certification; enhanced security and compliance
Engineered a microservice architecture emphasizing event?driven, reactive systems which substantially increased system responsiveness
Processing and storing large quantities of real?time data from vehicles
Collaborated with data scientists to create custom solutions for autonomous driving, EV, and battery production
Responsible for security, compliance and the IDP with RBAC for hundreds of thousands of accounts
2008 ? 2013
Computer Science and Natural Language Processing
Degree: Master of Science
Institution: Ruprecht?Karls?Universität Heidelberg, Germany
Focus
Strong focus on statistics and machine learning
Thesis on the adaption of the Latent Dirichlet Allocation algorithm on subsegment pattern matching
My passion is to design and implement scalable architectures for distributed applications with state?of?the?art technologies, especially in the financial, logistics and automotive sector. My most valuable skill is adaptability and curiosity. Here's the current stack I recommend depending on the context and which actually use on a daily basis.
Automotive
Logistics
Finance
Engineered a realtime shipment processing system utilizing evolutionary architecture and data?oriented serverless principles; achieved a 40% reduction in processing time and improved scalability by 50% within 6 months while removing 90% of technical debt and shrinking the code base by 50%
Processed and analyzed large quantities of geolocation data; implemented unique algorithms for enhanced visualization, improving data interpretation speed by 35%
Designed, implemented, and monetized REST, GraphQL and gRPC APIs using Go, Kotlin and Python, resulting in a 20% rise in revenue
Executed infrastructure?as?code DevOps, responsible for achieving SOC 2 certification; enhanced security and compliance
Engineered a microservice architecture emphasizing event?driven, reactive systems which substantially increased system responsiveness
Processing and storing large quantities of real?time data from vehicles
Collaborated with data scientists to create custom solutions for autonomous driving, EV, and battery production
Responsible for security, compliance and the IDP with RBAC for hundreds of thousands of accounts
2008 ? 2013
Computer Science and Natural Language Processing
Degree: Master of Science
Institution: Ruprecht?Karls?Universität Heidelberg, Germany
Focus
Strong focus on statistics and machine learning
Thesis on the adaption of the Latent Dirichlet Allocation algorithm on subsegment pattern matching
My passion is to design and implement scalable architectures for distributed applications with state?of?the?art technologies, especially in the financial, logistics and automotive sector. My most valuable skill is adaptability and curiosity. Here's the current stack I recommend depending on the context and which actually use on a daily basis.
Automotive
Logistics
Finance