Software Developers

• Contributed to KIPITZ, a sovereign AI deployment and app platform for the public sector (main client: ITZBand).
• Implemented advanced AI applications (RAG systems, TTS, STT) and production code for large-scale LLM deployments.
• Further developed a complex microservice architecture, primarily with Python (Django), TypeScript, RabbitMQ, and vLLM.

• Starting point: The website and shop had grown through work by several service providers. After a domain change, the display, links and search engine listings were no longer correct
• Standardized the typography and updated the product detail page for desktop and mobile devices
• Corrected links and SEO settings for the new domain
• In consultation with the client, removed pages, plugins and styles that were no longer needed
• Technology: WordPress, WooCommerce, Elementor, custom theme, Rank Math

• IONOS Managed K8s Service: Engineered core K8s Operators and Auth architecture (Golang, OpenAPI, Postgres).
• IONOS Data Export Service: Built logging webservices and GitOps CI/CD pipelines (Golang, Loki, S3, ArgoCD).
• Pharma Cloud Migration: Modernized legacy on-premise software (Golang, OpenAPI, MongoDB, TypeScript).
• Greenfield ERP System: Engineered robust backend using augmented coding (Golang, GraphQL, Ent, Postgres).
• National Public Television: Delivered backend analysis and RESTful implementation (Golang, Postgres).
• Industrial Manufacturer R&D: Optimized QA and executed IoT refactoring (Golang, InfluxDB, MQTT).
• Recipe & Cooking App: Managed backend bugfixing and infrastructure adjustments (Golang, AWS EC2, Terraform).

• Design workshop curricula for software engineers and technical leads on AI-enabled engineering and on adopting AI tools effectively.
• Technical talk, 17th TestIstanbul Conference, October 2026: "What If We Tested the Tester?", on how AI amplifies the tester's judgement, blind spots included.
• Built and run the company website and online course platform (WordPress, PHP, JavaScript) with Claude Code and Cursor, plus a Playwright test suite that checks the live site's pages, links and sign-up flow.
• Built Write Check, a Chrome extension backed by a local Node.js service that scores any text box for clarity and AI-sounding phrasing, falling back across Gemini, Kimi, GPT and OpenRouter when a provider fails.
• Built a Python video pipeline that turns my online course into short narrated videos: script, text-to-speech, captions and rendering, with a review gate before each episode.
• Work under a written protocol for AI coding agents (CLAUDE.md): a definition of done written as checks before the work starts, tests that fail before they pass, and independent reviewer agents that check each claim of the coder agents against its source.
• Author of The Maintenance Trap (Level Up newsletter, May 2026), on developer productivity: why high-performing engineers get pulled into maintenance work and how to make the ROI case for fixing it.

• Intelligent Document Processing Engine with OCR & Computer Vision: Architected the end-to-end AI pipeline at the core of the SQPS GenAI document-processing product, which turns scanned paper and PDF batches into organised, searchable documents, combining image pre-processing, OCR and layout analysis for mixed-quality scans. Technologies: Python, OpenCV, Tesseract / PaddleOCR, PyTorch, FastAPI
• Automatic Document Splitting & Classification: Developed models that detect where one document ends and the next begins inside a single multi-document scan, and classify each one by type (invoices, contracts, letters, reports) to enable fully automated filing. Technologies: Python, PyTorch, scikit-learn, Hugging Face Transformers
• Information Extraction & Intelligent File Naming with LLMs: Implemented an LLM-based GenAI extraction system that reads dates, names and reference numbers from unstructured documents and uses them to generate consistent, rule-based file names, with configurable naming conventions per organisation. Technologies: Python, LangChain, OpenAI, SentenceTransformers, SQL

Gas sensor technology and conversion of device data

Developed two applications to convert configuration data between different versions of gas sensor devices. Existing data is read and made available for the new device version after conversion. Used, among other things, for device upgrades.

Technology: Delphi 12 Athens.

Long-term technical support for the store for ten years, remotely.

• Integration of the Tyrolean ERP system MGM with Magento 2
• Migration of the store from Luma to Hyvä

• Created the MetX Assistant and was its primary driver from concept through production with real users; designed and oversaw telemetry and presented the system in demos.
• Built React, TypeScript and Python features for MetX, a scientific weather visualization platform; integrated internal data APIs and improved caching, request handling and rendering workflows.
• Contributed to company MCP tooling and led AI workshops and internal automation initiatives, including experiments connecting AI agents with Slack, Jira and Git.
• Acted as the team's Observability and DevOps subject matter expert, supporting service reliability, deployment workflows, monitoring and troubleshooting.
• Participated in Security, Observability and AI Communities of Practice.

Development and further enhancement of an internal quotation system for managing and analyzing insurance policies. The focus was on consolidating existing systems, establishing modern development standards, and improving testing, security, and deployment processes. Alongside implementing new features, special attention was paid to code quality, security, and performance.

Responsibilities:

• Full-stack development of an internal quotation system based on Spring Boot and Angular
• Design and implementation of a secure Spring Security configuration, including certificate management
• Merging two bounded contexts using Domain-Driven Design (DDD)
• Introducing and integrating Testcontainers for automated integration tests
• Establishing and applying common testing methods (unit, integration, and end-to-end tests)
• Presenting and integrating Cypress as a black-box GUI testing tool
• Improving the CI/CD pipeline through automated versioning and a custom Jenkins Library
• Proof of Concept (PoC) for state management with NgRx in the frontend
• Refactoring legacy code and fixing incorrect Spring Boot configurations
• Training developers in Clean Code, best practices, and the Spring Framework
• Developing a tool to analyze test data and improve quality
• Further development of the existing Cucumber project
• Carrying out dependency updates and analyzing and maintaining the application
• Implementing telemetry and building a Dynatrace dashboard
• Improving technical documentation in line with Arc42 and introducing AsyncAPI

Technologies: Scrum, TDD, CleanCode, Spring Boot, Java, Angular, NgRx, Testcontainers, Cypress, Cucumber, Jenkins, Dynatrace, Docker, Git, Maven, Kafka, Oracle, REST, DDD, Arc42, AsyncAPI, IntelliJ, Jira, Confluence, Windows, Linux

Responsible for integrating and maintaining web services for external clients and internal systems, emphasizing automation of ETL pipelines and infrastructure management.

• Since August 2025 I'm working on the Conversational AI team. We are developing an internal platform for the future of Conversational Ecommerce, powering other teams to use the Agents in their user experience. I'm deeply focused on the architecture of this project, with a particular focus on the monitoring and live evaluation of the agents.
• Played a pivotal role in business-critical operations, including Adyen client upgrades, multi-account configuration for app releases, domain migration support, and implementing a crucial BFCM hotfix to resolve a 10-minute update query (on the checkout workflow) that was blocking sales.
• Served as a key member of the On-Call rotation for over a year, leading >15 incidents, contributing to system stability, and enhancing distributed tracing via New Relic integration, deepening system-wide understanding and operational excellence.
• Conceived and delivered an MVP for a "Low Stock in Key Variants" (LSKV) index within two weeks as part of the Conversion Rate Taskforce, using statistical analysis of size curves to identify OOS products; this initiative led to a (0.9%) CVR improvement post-handover.
• Led major performance and stability initiatives, including a Ruby upgrade (YJIT, Jmalloc) that slashed average response times from 220ms to <100ms, and initiated an "Order Table Cleanup" project to manage 10M+ order records, ensuring SOX compliance and database health.
• Architected and delivered a scalable CloudFlare Worker solution for critical Apple Pay domain validation, mitigating operational risks and establishing a best-practice, automated workflow that was subsequently leveraged by multiple teams, demonstrating cross-functional impact
• Drove substantial evolution of the core e-commerce backend through consistent, high-impact contributions (130+ merged PRs), spanning critical feature delivery, complex system optimizations, and enhancing platform stability."

Used Screaming Frog, Ahrefs, Semrush, Google Ads, and Google Search Console (and more) to perform an SEO audit of the DANKÜCHEN website and their franchises, resulting in an improvement of many of their main keywords from low top 10 to consistent top 3.

• Led architecture and end-to-end engineering delivery for community-driven SaaS platforms serving 2M+ monthly active users.
• Architected and led the migration of a monolithic Python/FastAPI and PostgreSQL database and LangChain with codebase to an event-driven microservices architecture on AWS EKS, sustaining 10x traffic growth from ~150 RPS to 1,500+ RPS with zero re-architecture cycles.
• Defined and enforced engineering standards across services including API contracts, observability baselines, and deployment topology, reducing production incidents by 55% and MTTR from 2 hours to under 25 minutes within 9 months.
• Redesigned the caching and query layer using multi-tier Redis caching and database indexing/partitioning, cutting p95 API latency from 850ms to 180ms (78% reduction) and database CPU load by 45%.
• Built CI/CD platform on GitHub Actions, Terraform, and Kubernetes (EKS) with blue-green and canary rollouts, increasing deployment frequency from ~2/month to 8-12/day and reducing lead time from 10 days to under 6 hours.
• Implemented contract testing, automated load testing, and observability SLOs using Prometheus, Grafana, and OpenTelemetry, raising platform availability from 99.5% to 99.95% (10x reduction in error budget burn).
• Led and grew a cross-functional team of 8 engineers across backend, frontend, and DevOps, scaling headcount from 4 to 8 with 85% retention; owned hiring, onboarding, performance reviews, and career development.
• Partnered with Product, Design, and Client Success leadership as primary technical decision-maker; translated business goals into technical roadmaps and drove build-vs-buy decisions on authentication, search, and AI tooling.
• Introduced AI-assisted development workflows including automated code review and a RAG-based internal knowledge assistant using Graph (GraphRAG, Neo4J), increasing sprint throughput by 30% across two quarters.
• Owned incident command and production support rotation; established runbooks, postmortem culture, and on-call SLOs, reducing weekend paging incidents by 70%.
• Developed and optimized Algorithms using python libraries like Numpy and Pandas.