At Delphyr AI, I'm leading the design and development of a next-gen AI platform built specifically for the medical field. We're creating a secure, scalable SaaS platform that brings AI into real clinical workflows, from hospitals to GP practices without compromising on usability, privacy, or compliance.

I’m working across the full stack with Next.js, FastAPI, TypeScript, and Python, building everything from infrastructure to user-facing apps. This includes robust MLOps tooling, model serving, secure APIs, and privacy-by-design features like anonymization, access control, and audit logging.

• Architecting and building a cloud-native AI serving platform tailored for healthcare
• Developing intuitive medical applications using Next.js and FastAPI
• Building production-grade ML systems: from data strategy and model evaluation to monitoring, retraining, and scalable serving (incl. RAG & continual learning)
• Designing AI systems that are robust, testable, and aligned with real-world use cases, including guardrails, human-in-the-loop, and deployment best practices

Helping out to build a new gift redemption platform for Totally Gifts, fully from scratch.

Development of a greenfield project with a new tech stack, from scratch

• Applied genAI to generate images and videos for the platform (Replicate, HuggingFace, OpenAI)
• NextJS, TailwindCSS, Clerk, Sentry, NestJS, PostgreSQL, Docker, AWS have been used to build the solution.
• Event-driven architecture was used to capture gift card events and process them in real-time
• I contributed across the stack, collaborating closely with a cross-functional team of three engineers, a designer, and a product owner

Team lead managing a team of 5 backend and frontend developers on Grndhouse. Grndhouse is a platform for on-demand strength training.

Taking regular meetings with stakeholders to streamline the development of features for the initial MVP of Grndhouse, including video streaming, payment processing, and user management.

• Architected and engineered solutions in React Native, NodeJS and AWS
• Mentored junior developers, resolved blockers, and ensured timely project delivery
• Used a wide array of modern tools and services, such as Sentry for events monitoring, RevenueCat for payments, Mixpanel for analytics
• Used Expo to manage App lifecycle and deployments without App Store and Play store releases (but also with them when needed)

Individual contributor and then a team lead, managing a team of 5 backend and frontend developers on Fertifa. Fertifa is Europe's most comprehensive reproductive healthcare provider.

Development of features for Fertifa, defining the features together with the product owner and stakeholders, mentoring the team.

• Engineered solutions in React Native, NodeJS and AWS
• Used a wide array of modern tools and services, such as Sentry for events monitoring, Strapi for content management, Google Analytics, Meta Pixel, Drip, Amplitude for analytics
• Manually managed App lifecycle and deployments

This role was a deep dive into data platforms and taught me the intricacies of transformation to a data driven company

• Senior engineer in a team developing ETL automation framework and platform in Azure, based on Hadoop & Kafka ecosystem, automated by Terraform
• The rendering framework was built with Python, Flask and SQLAlchemy
• I led a part of story mapping for migration of on-premise data platform services to Azure. Built automation for deploying services on Azure Kubernetes cluster
• Development of distributed event sourcing application for “real-time” analysis of KPN customer journey where multiple touchpoints are combined, analyzed and visualized
• Scala stack with Akka/Alpakka is used to build microservices and Flink applications
• Utilizing DevOps methodology with fully automated CI/CD, monitoring and alerting

This role enabled me to learn much more about machine learning, prompt engineering and making data-driven decisions. Led a team that automated Vodafone's customer service agents using Amelia AI framework.

• As technical lead of a 3-member agile team I was responsible for development of human-machine interaction on artificial intelligence framework <a href="https://amelia.ai/" target="_blank" class="text-blue-700">Amelia</a>.
• Focused on hands-on development, code reviewing, mentoring and Scrum rituals
• The role included managing business requirements and solution architecting
• Development was done mostly in Groovy/Python and in Java
• The technical stack included Kafka, Camel, Mule, ElasticSearch, Spring, Grails, Docker
• Data analysis with Pandas, Jupyter and visualisation with d3.js, and making new features (or refactoring) decisions from the insights

As member of Liberty Global OTT streaming solution architecture & engineering team, I gained deep experience in combining software and system engineering to solve complex infrastructure challenges

Through work with high availability services I acquired deep knowledge of web and backend application design, streaming technologies, HA scalable infrastructure, AWS cloud and full stack network protocols

• I developed AWS (micro)services infrastructure, worked on the CDN content delivery system, Adobe AEM and their integration
• Data analysis with Jupyter, Wireshark, Conviva, Omniture
• Performing code reviews and overall system troubleshooting