Angular Experts in Berlin

• Implementation of a full-stack application with Angular as frontend framework and Java as backend language
• Use of the Swagger OpenAPI specification for REST communication between frontend and backend applications
• Control of a card printer via the Nexus Card SDK framework
• Design and implementation of card management software with web interface and JavaFX module for printer monitoring
• Use of Cucumber tests for test automation and creation of test artifacts for testing outside the development environment
• Use of Wireshark for network investigations to analyze the API of a third-party product and to check the REST API of the self-developed software

• Delivered a new notifications platform implementation built from scratch to replace existing and upcoming services
• Collaborating with other teams to integrate more domains

Tech stack:

• Data: Scala 3, Apache Kafka, Python, Airflow, Astronomer
• BE-FE: TypeScript, NestJS, Java, Spring Boot, Vue
• Dev-ops: AWS, PostgreSQL, Docker, GitHub Actions, Kubernetes, Helm, ArgoCD

• Led development of 15+ microservices (Java 17, Spring Boot) driving customer interactions; migrated from on-prem to GCP Kubernetes, improving scalability and reducing infra cost by 20%.
• Optimized user services with CouchDB caching and API refactoring, cutting response times by 35% and enhancing customer experience.
• Implemented canary deployments, FluxCD GitOps, and CI/CD optimizations in GitLab, reducing release lead time by 25% and enabling zero-downtime rollouts.
• Set up Grafana health checks and Anodot alerts for latency, error, and throughput monitoring, reducing MTTR by 40%.
• Built secure APIs using OAuth2, DPoP, and Gatekeeper, integrated REST and GraphQL, and achieved 90%+ test coverage with unit and E2E tests.
• Mentored junior developers, promoted Agile best practices, and collaborated cross-functionally to deliver high-impact, reliable customer-facing features.

• Joined the initial development team and helped transform an n8n prototype into a production-ready 0-to-1 product in a fast-paced environment.
• Owned delivery across CRM and Twilio integrations, customer communication workflows, and administrative interfaces.
• Collaborated on AI evaluation, microservice architecture, and other cross-functional product and engineering topics.
• Supported the CEO across VC communications, customer acquisition, product positioning, onboarding, documentation, pricing, and sales.

• Developed complex React/TypeScript frontend systems for highly customizable lens products.
• Designed internal tooling for validating and managing product configuration constraints.
• Led accessibility initiatives to align customer-facing applications with EU accessibility requirements.
• Worked extensively in large legacy codebases while incrementally improving maintainability and developer experience.
• Collaborated across multiple teams in an international e-commerce environment.

• Led the end-to-end delivery of enterprise full-stack web applications by driving requirement analysis, solution design, frontend and backend development, database design, API integration, code reviews, team coordination, Agile execution, CI/CD deployments, production support, performance optimization, security implementation, and stakeholder collaboration to deliver scalable, high-quality software solutions.

• Acted as technical consultant to optimize multi-layer ensemble models combining ResNet, CNN-BiGRU-Attention, and XGBoost.
• Guided implementation of a Logistic Regression meta-learner to solve class imbalance problems, achieving 92.86% accuracy and 0.9644 AUC on PTB-XL and Chapman-Shaoxing datasets.

• Defined and executed product vision & strategy, collaborating with UX, architecture, and engineering teams, resulting in a 30% improvement in user satisfaction across key product touchpoints.
• Owned end-to-end product lifecycle management, overseeing the launch of 5 major product updates, improving product efficiency and feature adoption by 25%.
• Defined and structured epics, features, and user stories; validated and ensured 100% of completed stories met definition of ‘Done' before release.
• Led backlog grooming, prioritization (WSJF, MoSCoW), and sprint planning, ensuring 95% on-time delivery of features in quarterly release cycles.
• Worked with technologies: API, Angular, Node, ReactNative (Mobile), SQL, Kafka, AWS cloud with ES (Elastic search) with JSON file indexes.
• Used Confluence and Jira for maintaining product details and product backlogs for 10 years.
• Used Figma, Sketch, Miro for 4 years.
• Directed cross-functional teams, coordinating with developers, designers, and business units, driving a 40% reduction in time-to-market for critical features.
• Spearheaded product release demos, UAT, and go-to-market (GTM) strategies, leading to a 15% increase in user adoption within the first quarter of launch.
• Optimized member experience on Anthem's digital health platform, resulting in a 20% increase in active user engagement and a 10% boost in member retention.

• Drive migration of enterprise authorization platform from Styra DAS to open-source OPA via Skipper (Zalando's Golang-based ingress proxy) integration
• Optimise k8s resources and integrate native Prometheus metrics with OPA
• Migrate from internal monitoring solution to Prometheus CRs + Dash0

Tech Stack: Java/Kotlin, Golang, Python, Spring Boot, AWS, Kubernetes, Docker, OpenTofu, Prometheus, Grafana

• Led development of RunBot AI assistant autonomously using LLM-powered workflow automation (React, TypeScript, Java, MongoDB, NATS)
• Architected TMS platform providing unified transportation management and real-time logistics visibility with AI processing pipelines
• Designed event-driven microservices architecture supporting marketplace
• Drove architectural decisions and technical leadership across full-stack platform development

• Interim Product Owner for two new applications as part of the introduction of a new bonus points program within the entire Rewe Group
• Coordination of cross-team planning (initiative management) and implementation
• Responsibility for product vision, roadmap, backlog and stakeholder management within an agile scaled product development team
• Successful Go Live with both applications on 2024-09-24

• Designed and implemented a hybrid recommendation system (content-based + collaborative filtering)
• Built end-to-end ML pipelines including data processing, feature engineering, model training, and evaluation
• Developed RAG-based LLM systems using LangChain and vector databases for semantic search and knowledge retrieval
• Established MLOps workflows with MLflow for experiment tracking, versioning, and deployment readiness
• Implemented deep learning models (computer vision & classification) using PyTorch and TensorFlow

• Worked on the development of cloud-based web platform for different financial solutions (Payment by invoice, EPI, Freenet)
• Made technical and architectural decisions, discussed with management team the direction of the platform
• Provided technical expertise, made software improvements
• Participated in meetings, reviewed tickets, wrote documentation
• Technologies used: C#, .NET, MS Azure Services, Azure SQL, CI/CD, Azure DevOps, Jira

• IT training in theory and practice for IT specialists in application development and system integration