28.10.2025 aktualisiert
100 % verfügbar
AI/Software Engineer & Architect
Düsseldorf, Deutschland
Düsseldorf +25 km
B.Sc. Computer ScienceÜber mich
Results-driven Software Engineer with 5+ years building scalable AI/ML systems, data pipelines, and distributed architectures.
Skills
Google Cloud ServicesAmazon AWSApache AirflowLarge Language Models (LLMs)PythonTypescriptData EngineeringAI EngineeringMongoDBSQL
Senior Software Engineer | AI/ML Systems | Team Leadership
I'm a results-driven software engineer with 5+ years of experience building scalable, production-grade systems that solve complex technical challenges. I specialize in designing and implementing high-performance data pipelines, AI/ML solutions, and distributed architectures that deliver measurable business impact.
Core Expertise:
AI/ML & Data Engineering
- Designed and productionized end-to-end AI/ML pipelines integrating vector databases, LLMs, and rules engines
- Built scalable data processing systems handling 3M+ patient charts and 4M+ daily events
- Developed AI evaluation frameworks that improved prediction accuracy by 150%
- Experienced with modern ML infrastructure, prompt engineering, and model optimization
Backend & Cloud Architecture
- Expert in event-driven and distributed systems design
- Proficient in AWS and Google Cloud Platform infrastructure
- Strong experience with MongoDB, SQL databases, and vector databases
- Skilled in Docker containerization and Apache Airflow orchestration
- Proven track record of optimizing system performance (reduced processing times from 10 hours to 2 hours)
Technical Leadership
- Led and mentored teams of 5+ engineers, maintaining high-velocity delivery (10 stable releases daily)
- Automated workflows saving 40+ hours weekly across multiple teams
- Collaborated effectively with product and operations teams to align technical solutions with business needs
- Strong focus on system reliability, scalability, and cost optimization (achieved 5x cost reduction on recurring processes)
Technical Stack: Languages: TypeScript, JavaScript, Python Cloud & Infrastructure: AWS, Google Cloud, Docker, Apache Airflow Databases: MongoDB, SQL, Vector Databases Specializations: Distributed Systems, Event-Driven Architecture, Large Language Models
Sprachen
DeutschMutterspracheEnglischverhandlungssicherFranzösischGrundkenntnisseRussischMuttersprache
Projekthistorie
- Led, trained, and mentored a team of 5 engineers, delivering up to 5 stable releases daily, maintaining high system reliability across 4 systems (2 frontend, 2 backend)
- Designed and built a proprietary AI/ML pipeline, integrating vector databases, LLMs, and rules engines to predict patient diagnoses and enhance decision-making accurately
- Productionized scalable infrastructure for the AI/ML pipeline, reducing the cost of recurring patient analysis by 5x
- Directed the development of an AI evaluation framework, boosting prediction accuracy by 150% and streamlining improvement tracking
- Automated workows across tech and operations teams, reducing manual workloads by 40 hours weekly through custom-built frameworks
- Designed and built a scalable data pipeline to process over 3 million patient charts and 4 million events daily
- Built and delivered the core platform to visualize, search, and manage clinical data for over 1 million patients and 200+ million clinical documents, enhancing user accessibility
- Reduced patient processing time from 10 hours to 2 hours by transitioning from a polling strategy to an event-driven architecture
- Collaborated closely with product and operations teams to align the core platform with market needs, driving successful user adoption and satisfaction