Ethereum Experts in Germany

• Developed backend features for Modern RIS, a web-based Radiology Information System integrated with the existing Classic RIS via WebView.
• Worked on a modular Spring Boot backend covering clinical workflows such as appointments, examinations, patients, orders, reporting, billing, and inventory.
• Contributed to event-driven architecture using domain events to decouple workflows across backend modules.
• Implemented REST/OpenAPI endpoints, service-layer business logic, DTO mapping, validation, and integration points for the React frontend.
• Worked with PostgreSQL-backed domain models, Liquibase database changes, read/write model separation, and legacy RIS database structures.
• Integrated authentication and authorization flows using Keycloak and OAuth2.
• Added and maintained unit/integration tests using JUnit, Rest Assured, Testcontainers, and project-specific test utilities.
• Supported CI/CD and local development workflows using Maven, Docker Compose, Jenkins, and generated OpenAPI clients.

Tech stack: Java 21, Spring Boot 3.5, Maven, PostgreSQL, Liquibase, Keycloak, OAuth2, REST, OpenAPI/Springdoc, MapStruct, Lombok, Docker, Testcontainers, Jenkins.

• Crypto quant strategy development, automated trade execution, onchain data client (Ethereum / Solana)
• Data and trade architecture development for liquidity provision

• Shipped Memorable, a production iOS app using on-device CLIP-based semantic photo search. Owned the full stack: Core ML conversion, local inference pipeline, App Store release, and post-launch iteration.
• Built a practical AI deployment framework that covers workflow redesign, use-case prioritization, system integration, eval planning, and human-in-the-loop controls.
• Conducting AI use-case discovery and advisory conversations with professionals in legal, tax, and real estate sectors.

• Responsible for setting up and configure AWS Organizations and Control Tower on company's master organizational account
• Administer and maintain various AWS services, including EC2, S3, RDS, Lambda, VPC, IAM, etc.
• Monitor system performance, availability, and capacity planning to ensure scalability and reliability
• Implement and maintain infrastructure as code (IaC) using tools like CloudFormation or Terraform
• Work closely with development and operations teams to automate deployment processes using CI/CD pipelines (e.g., Jenkins, GitLab CI/CD)
• Develop and maintain scripts for automating routine tasks and infrastructure provisioning
• Implement automation for monitoring, logging, and alerting to ensure timely incident response
• Implement and enforce security company guidelines and best practices for AWS environments
• Configure and manage AWS security services such as AWS Identity and Access Management (IAM), AWS WAF, AWS Shield, etc.
• Collaborate with the Security Team to improve and update security policies and posture
• Collaborate with development teams to provide agile deployments and optimize application performance and reliability on AWS
• Provide technical support and guidance to internal teams on AWS-related issues and best practices
• Participate in cross-functional projects to enhance overall infrastructure and operational efficiency

• Requirements analysis for the enterprise-wide observability platform.
• Creation of playbooks and pipelines for rolling out Envoy, OpenTelemetry Collectors, and OpenTelemetry Agents.
• Conducting load tests for capacity planning of metrics for the observability platform.
• Documentation and implementation of compliance standards for production readiness.
• Creation and design of RED metrics, spanmetrics, JBoss, and Tomcat dashboards for mission-critical applications.
• Setting up alerts for critical applications for proactive incident response.
• Integration of OpenShift applications into the enterprise-wide observability stack.

• Developed RAG-based AI solutions integrated with enterprise data infrastructure for high-accuracy responses.
• Optimized LLM performance, reducing latency and cost with fine-tuned AI models.
• Built NLP pipelines for summarization, entity extraction, and sentiment analysis, enhancing automation workflows.

• Independent Software Engineer focusing mainly on complex backend architectures.

• Fixing issues in the application logic

• Covering the changes with component tests

• Analyzing and documenting the data structure of the different applications

• Analyzing and documenting the parameters for configuring the applications

• Analyzing and documenting the necessary measures to ensure the operation of the applications

• Analyzing and designing the separation of the individual database structures

• Analyzing and estimating the effort for planned enhancements

• Analysis, maintenance and documentation of a heterogeneous legacy system landscape for a print media service provider

• Technology: C#, VB.NET, C, Python, Microsoft SQL Server, Visual Studio 2010, JetBrains Rider, Visual Studio Code, arc42, Draw.io, Jira, GitLab

• Project Livebash (2021-12-01–2023-12-31)

• Development and design of the core system

• Code reviews

• Developer management

• CI/CD

• Client communication

• Leading epics

• Speaking at conferences

• Managing the production system

• Interviewing project developers

• Outcome: production system

• Technologies and tools: Java 11, Java 17, Kotlin, Spring Boot, TeamCity, Gradle, AWS DynamoDB, JUnit, Mockito, Docker, Docker Compose, AWS SQS, AWS EC2, AWS S3, AWS MediaLive, Ethereum, Postman

• Project Robinhood (2024-01-01–2024-05-31)

• Customization and development of product features for specific clients

• Interviews with project developers

• Technologies and tools: Java 17, Java RX, Kotlin, Spring Boot, TeamCity, Gradle, JUnit, Mockito, Docker, Docker Compose, PostgreSQL

• Projects Sway, Tickmill, Pepperstone, UCapital (2024-06-01–present)

• Customization and development of product features for specific clients

• Bug fixes

• Porting tickets from the product

• Feature development

• Technologies and tools: Java 17, Java RX, Kotlin, Spring Boot, TeamCity, Gradle, JUnit, Mockito, Docker, Docker Compose, PostgreSQL

• Role: Senior FullStack Developer
• Technologies: Google Cloud, Azure, Microsoft Entra, Keycloak, Spring Boot, Java
• Active in production

• Leading architecture and delivery of AI-powered educational content platform, managing two development teams with full technical ownership.

• Designed and architected the Content Hub platform replacing legacy SiteFusion systems, enabling professors to create AI-assisted learning materials for improved student outcomes.

• Established technical strategy, defined architecture requirements, and aligned two cross-functional teams (AI Media Team, TEAQ Team) on a unified delivery roadmap.

• Implemented Clean Architecture principles and AI-agent-friendly documentation standards across the engineering organization.

• Drove adoption of modern development workflows including CI/CD automation and MongoDB-based content management solutions.

• Project: Mazars Windows 11 rollout: responsible for the Windows 11 rollout at the Mazars client
• Understanding customer-specific requirements (hardware compatibility, application dependencies, Microsoft AD group policies)
• Implementing hardware logistics at customer sites
• Coordinating IT, business unit, security, and compliance teams
• Updating infrastructure
• Performing driver and firmware updates
• Automating the rollout using scripts
• Notifying users, providing FAQs, change logs, and support contacts
• Technologies: Baramundi Management Center, AD, Azure AD, Intune, Office 365, OpenProject, RDP, Topdesk, MS Teams, PowerShell

• Led a team of 6 software engineers to develop and maintain an AI-driven healthcare platform, enabling automated diagnostics and prescriptions based on real-time ECG data analysis
• Designed and developed a robust Revenue Cycle Management (RCM) system, integrating HL7 and FHIR APIs to enable seamless interoperability, real-time data exchange, and HIPAA-compliant data handling, improving billing efficiency, claim processing, and regulatory adherence in healthcare operations
• Migrated a legacy monolithic application to a scalable microservices architecture, enhancing system modularity, scalability and maintainability while implementing key design patterns such as Strangler, Database-per-Service, API Gateway, Saga and CQRS for efficient service communication and transaction management
• Architected and led a C# 9/.NET 6 microservices ecosystem handling hotel reservations, payments, and loyalty programs, enabling 99.99% uptime across 10+ services
• Defined OpenAPI/Swagger contracts and auto-generated client SDKs, reducing front-to-backend integration time by 50%
• Containerized each service with Docker and orchestrated deployments via Kubernetes, slashing release lead time from days to hours
• Designed PostgreSQL schemas optimized for high-volume transactional workloads and implemented Redis caching layers to accelerate read-heavy endpoints by 80%
• Built Kafka streaming pipelines for real-time availability updates and audit logs, processing 2 million+ events per hour with end-to-end delivery guarantees
• Implemented unit and integration tests for React applications using Jest and React Testing Library, ensuring 80%+ test coverage, improving component reliability, and preventing regressions
• Defined and deployed AWS cloud infrastructure using Terraform, while containerizing and orchestrating microservices with Docker and Kubernetes, improving automation and system scalability
• Built a scalable full-stack booking application using React 18 and Django REST Framework, integrating Celery and Redis for asynchronous task processing, while deploying on GCP with Cloud Run and Firestore, enabling real-time scheduling, payment processing, and automated notifications
• Mentored junior developers through code reviews, pair programming, and knowledge-sharing sessions, improving team efficiency by 30% while maintaining comprehensive API documentation using Swagger/OpenAPI

• Specialized in event driven microservice architecture in AWS with NodeJS, Typescript and Vue/React/Next in the frontend

• Developed a SaaS product in the B2B sector

• Used AWS services: DynamoDB, Lambda, SQS, SES, EventBridge, Cognito; Serverless-Framework; Rest-API

• Implemented unit tests with Jest and Mocha

• Set up CI/CD pipeline with GitHub Actions

• Developed a SaaS product for organization management

• Worked with AWS Microservice architecture and event driven design

• Utilized CDK, NodeJS OpenAI-API, React, Vue

• Continued use of DynamoDB, Lambda, SQS, SES, EventBridge, Cognito, Typescript

• Maintained CI/CD pipeline with GitHub Actions