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• Providing freelance software engineering and AI orchestration services for an early-stage startup.
• Designing and coordinating autonomous AI systems capable of executing complex, multi- step workflows.
• Developing customer-facing pilots and proof-of-concept solutions.
• Participating in meetings with customers and investors to support product development and business discussions.

• Client: Terex Corporation

• Subject matter expert for the client on modeling and developing Camunda BPMN 2.0
• Development of new features and APIs, and coordination of tasks
• Design and development of RESTful APIs with Swagger (code first)
• Creation of target designs, high-level concepts, and requirement specifications
• Analysis and evaluation of alternative solution approaches
• Integration of external IT systems (ANUBIS, SES, ZPS) via Google GCP Pub/Sub and RESTful web services
• Pair programming, code reviews, and collaboration with API product owners
• Consulting on transforming legacy BPMN workflows and configuring Camunda BPM
• BPMN and DMN modeling and implementation in short iterations
• Operational support, bug fixing, and knowledge documentation
• Use of TDD, static code analysis with SonarQube, and integration tests
• Automation of test cases in Java and analysis of stack traces/logs on GCP-PROD
• Identification and execution of test data and documentation of test results

• Provide the Price Listing Service Team Price for all cars and vans in different markets
• Adjust market-specific requirements like taxes, government subsidies, campaigns
• Import, synchronize and store new prices for all new and existing cars in Redis datastore
• Support our product and handle on-call duties
• Daily operations, developing new features, bug fixing
• Pair programming, code reviews, mob programming
• Develop POCs for new ideas
• Maintain and extend the backend
• DevOps tasks
• Perform Kubernetes updates
• Adjust and further develop Kubernetes resources
• Develop and customize Helm charts
• Adjust and update ArgoCD
• Maintain, adjust and further develop CI/CD pipelines

Led backend engineering across core domains (main backend, notifications, medical knowledge base, results processing), owning delivery quality, team growth, and engineering standards.

Signature Outcomes

Shipped a flexible, no-code membership platform (pricing, packages, duration), enabling commercial changes without engineering involvement and keeping membership tiers coherent over time.

Built a high-impact backend team through mentorship, coaching engineers into independent contributors and establishing onboarding documentation that enabled fast ramp-up.

Scaled the team from 2 → 5 engineers while maintaining delivery cadence and code quality; owned hiring pipelines and onboarding.

Partnered closely with Product during design to assess feasibility, sequence work, and make pragmatic trade-offs between speed, tech debt, and long-term maintainability.

Institutionalized testing and simplicity as defaults, enforcing high test coverage and a “simple-first” architecture approach.

Tech & Practices

Stack: Node.js (TypeScript), Express, PostgreSQL; microservices (Node & Go); event-driven async jobs.

Practices: Testing as a release gate, lightweight design reviews, iterative delivery, documentation-driven onboarding.

Compliance & Security: Led implementation of Privacy Officer recommendations (GDPR and German healthcare regulations).

• Heycar is a leading automotive platform redefining the used car market through intelligent data pipelines, multi-tenant services, and dealer-focused tooling. I led initiatives across backend architecture, data ingestion, and identity management to enhance scalability, reliability, and developer productivity.
• Ingestion Platform: Designed a unified ingestion platform with YAML-based configuration, enabling new dealer data pipelines to be onboarded without code changes, cutting setup time from ~2 months to 2-3 days and improving scalability by 40%.
• Keycloak Leadership: Acted as the company's Keycloak expert, scaling it for multi-tenant identity management and extending functionality with custom plugins and delegated admin APIs.
• Back-Office Tooling: Developed a back-office application integrated with Salesforce, enabling dealers to manage inventory, convert leads, and handle support requests in real time.
• Multi-Tenant Migration: Collaborated across backend teams to migrate Heycar's core services into a unified multi-tenant cluster, ensuring high availability.
• Frontend CI Optimization: Optimized monorepo delivery by implementing CircleCI dynamic config with NX, deploying only affected UI projects and drastically cutting build times.
• Observability & Mentorship: Enhanced monitoring and release reliability while mentoring backend engineers and improving code review standards.

• Backend & API architecture: Independently architected a scalable Node.js backend and RESTful API to handle a high volume of transactions, ensuring robust data management for users, restaurants, and administrators.
• Microservices & infrastructure: Engineered a sophisticated database architecture using PostgreSQL with geographic query optimization. Designed and deployed a robust infrastructure with three separate microservice servers and a database server.
• Performance & scalability: Implemented Redis caching and performed SQL query optimization to improve application performance and reduce load on the database, enhancing responsiveness for real-time services.
• Security & authentication: Integrated secure payment processing via Razorpay and implemented robust middleware for JWT authentication to ensure secure transactions and data integrity.
• CI/CD & deployment: Established a robust CI/CD pipeline using Docker and GitHub Actions for automated and reliable deployment, showcasing fluency in modern DevOps practices.

• Developed and maintained Kotlin-based microservices with Kafka event streaming, applying Hexagonal Architecture and Domain-Driven Design in production environments.
• Contributed to the Bring-Your-Salary feature, enabling seamless onboarding of new salary accounts and improving customer experience.
• Built and integrated services for the FPAD VOP platform, supporting secure and scalable partner integrations.
• Investigated and resolved production incidents through root cause analysis (RCA), implementing fixes that improved service stability and reliability.

• Built a scalable data platform processing millions of structured records daily from multiple sources, enabling near real-time analytics, dashboards, and secure report exports.
• Supported business decision-making by reducing latency in insights and ensuring data reliability.
• Designed and deployed high-throughput Kafka ingestion pipelines, reliably processing millions of records daily for enterprise analytics.
• Built a Redis-based distributed self-healing task system, reducing manual intervention by ~90% and improving overall platform reliability.
• Improved database write performance, increasing ingestion throughput by ~40% and enabling near real-time data availability.
• Developed high-performance RESTful APIs for multi-dimensional analytics and TopN statistics, supporting enterprise teams in identifying key trends and anomalies.
• Optimized queries with caching, materialized views, and partitioned tables, reducing latency under heavy load by ~80%.
• Integrated application-layer Role-Based Access Control (RBAC) to enforce fine-grained data permissions, ensuring secure API access and compliance.
• Improved Jenkins + AWS EKS CI/CD pipelines for zero-downtime deployments and automated rollback, reducing deployment failures by ~90%.

• Backend services development in Kotlin with Spring Boot using AWS CDK.
• Design and architecture of new features.