Anne Lohmeijer

Data platform engineer in one of the platform teams that maintain the advanced analytics data platform. Shared responsibilities:

• build the API that manages user access for data on the advanced analytics data platform
• build a paved road for integrating data from Confluent Kafka to the platform
• maintain Unity Catalog
• operational duties

Tech stack: Python (FastAPI), Azure, Databricks, Unity Catalog, Terraform, Github, Docker.

Platform engineer in the enablement team of Strategy & Innovation, which provides engineering teams with the infra required for their application.

• Key player in setting up the Azure cloud infrastructure for implementation of OpenAI’s ChatGPT within the bank. Within 6 weeks went from start to multi-stage, scalable application.
• On a daily basis responsible for setting up infra for applications: storage, compute, networking, monitoring, governance, DevOps, CI/CD.

Tools: Terraform, Docker, Gitlab, Kubernetes, Azure, AWS.

Projects

• Played a key role in productionizing the first advanced analytics use case on the data science production platform (K8s cluster) of the bank: a highly scalable emailclassifier that has been deployed to several departments with Operations. Responsible for the MLE part of the models in production.
• Developed and published several internal NLP modules to handle and process text data.
• Responsible for the technical effort of productionizing a transaction alert model in the Detecting Financial Crime department.
• Leading the technical effort of productionizing a document classifier at scale. Classified over 3 million documents / more than 5TB of data in batch mode. This helped ABN AMRO complying to ECB regulations.
• Lead generation project based on automatic detection of credit needs. Resulted in over 10M euros in loans.
• Co-leading the team in becoming technically mature (coding standards, best practices, ways of working, etc.)
• Active role in the MLOps community within the bank.
• Mentoring several juniors in the team.

Concepts: CICD, MLOps, IaC, containerisation.

Tools: Spark, Python, Azure, MLflow, Databricks, Terraform, Gitlab, Kubernetes.

GUTS Tickets is a ticketing company that provides event ticketing on the blockchain. My responsibilities consisted of data analysis and Python development on a Raspberry Pi. Started as a part-time job next to my studies and continued as full-time job.

Tech stack: Python, Docker, Gitlab.

Data analytics in Excel/VBA. This was a part-time (20hrs/week) job next to my academic degrees.

Little Lions Child Coaching is a Cape Town-based NGO that provides mental health workshops to children in townships in South Africa and Kenya. I started Digital Lions: a private web app that enables local staff to provide and gather insights in attendance data. Within nine months we went from scratch to a live application (app.littlelionschildcoaching.com), with multiple environments. To date, I have spent roughly 400 hours on this.

• Public code: Github organization with repository
• System design and implementation
  • database (Postgres)
  • API (FastAPI)
  • user management, RBAC (OAuth with Auth0).
• DevOps: containerisation (Docker), CICD, networking (domain administration), security