- Key contributor to architecture and implementation of new order microservice. > Designed and implemented industry-standard order API interfaces (https://developer.runa.io/) > Took a key role in architecting and implementing complex order validation.- Spearheading the introduction of technical decision documents/RFCs on team level, contributing to enhanced collaboration, streamlined development processes and informed decision-making.- Primary on-call engineer for business critical systems, ensuring rapid incident response, minimal downtime, and the uninterrupted continuity of essential operations.- Regularly assuming Sprint lead duties, ensuring efficient development cycles, team focus, and on-time high-quality deliveries.- Lead interviewer (60+ interviews in 2023) for all interview stages for IC1 and IC2 engineers, driving top-tier talent selection to grow the engineering org.

- Building personalised REST APIs based on customer's product possession to reduce service center calls and increase click-through-rates and personalisation in the web and mobile channels- Completed Azure DevOps and cloud migration of multiple microservices- Tech lead for migration of multiple legacy APIs- Security champion for secure code review and penetration testing- On-call standby engineer for multiple business critical APIsStack: Java 11, Maven, Spring, junit, Cucumber, Cassandra NoSQL DB, Kafka, Oracle SQL DB, Azure DevOps, Docker, Openshift

- Implemented an unsupervised, real-time end-to-end machine learning solution in the internal customer feedback application.- Applied common best practices in regards to text processing, word embedding techniques, but also experimented with state of the art models such as Google BERT.- Responsible for model development, deployment, monitoring and the integration on the client side (Python/Java/Spring). - This solution helps business stakeholders with getting insights into overwhelming amount of customer feedback, which in return contributes to features on the backlog, spotting unknown bugs & improving customer experience of all online channels- Speaker at PyData Amsterdam 2020

- Implemented real-time end-to-end machine learning solution in the ING Digital Banking web app. - Responsible for model development, deployment, monitoring and the integration on the client side (Python/Java/Spring).- This solution increased the transaction search timeframe from 1 year to unlimited.- Trained 40 engineers in an introductory workshop to Machine Learning.- Regularly hosted machine learning meetups for engineers.