Platform Engineer
6 months
- at redacted
- revamping the Kubernetes logging architecture
- automating and standardizing the infrastructure and rollout over multiple environments
Skills: MLOps · Ansible · Datadog · CentOS · Splunk · Elastic Stack (ELK) · Amazon Web Services (AWS) · Python · Jenkins · Kubernetes
Tech Lead
8 months
- Supported and led an interdisciplinary team of 10 as the tech lead in creating a digital twin of a highly complex supply chain.
- Designed the architecture and worked closely with developers and stakeholders to ensure project success.
- Led one of over 50 teams, coordinating efforts to meet deadlines and seamlessly integrate into existing processes.
- Achieved a 30% cost reduction while enhancing the performance of our core service by a factor of 30 and significantly improving service scalability within the first 3 months.
- Improved efficiency and productivity by implementing new processes and effectively managing resources.
Skills: Apache Kafka · Spring Boot · Google Cloud Platform (GCP) · Python (Programmiersprache) · Node.js · MongoDB · Serverless Computing · Java · JavaScript
Tech Lead
4 months
- Started and led a team of 8 to secure victory in a hackathon, surpassing 150 other consultants.
- Founded and spearheaded a project based on the proof of concept (PoC) developed during the hackathon.
- Enabled consultants to interactively explore company data related to assignments and consultants through a project built on a Knowledge Graph implemented in Neo4J.
- Led a team of 8-10 available consultants, overseeing staffing, project management, and technical implementation.
- Took on some of the more challenging parts of the technical implementation.
- Successfully delivered the project, providing consultants with valuable tools for data analysis and decision-making.
Skills: Knowledge Graphs · Neo4j · Projektmanagement · Natural Language Processing (NLP) · Amazon Web Services (AWS) · Python
ML-Engineer
12 months
- ML-Engineer in the Data Science Team at one of Europe's largest private wagon hire companies.
- Designed and implemented an efficient MLOps Pipeline within a tight timeframe of just over 3 weeks.
- Took charge of developing and managing the architecture, infrastructure, CI/CD pipelines, data pipelines, and services.
- Collaborated closely with data scientists to develop and deploy ML models seamlessly.
- Ensured the smooth integration of ML models into the company's operational processes.
- Contributed to the overall success of the data science team by enabling efficient model deployment and serving through well-structured pipelines and services.
Skills: Pandas · Amazon Web Services (AWS) · Go · Python