Caching Experts in Berlin

• Own full-stack development of an AI-native enterprise platform built on TypeScript, React, Vite, tRPC, Hono, and PostgreSQL, delivering AI-powered consulting workflows to B2B clients.
• Designed and shipped a multi-agent AI system using ReAct framework and Claude skills-style workflow patterns, including an intelligent PM assistant with rich system prompts, slash commands, tool integrations, and streaming chat UI.
• Architected an LLM evaluation framework: rubric-based LLM-as-judge, golden datasets, regression testing, and automated quality gating — ensuring consistent AI output quality at scale.
• Integrated LangFuse for end-to-end LLM tracing, conversation replays, and evaluation pipelines, enabling data-driven prompt optimisation that reduced token costs and response variance.
• Built with Drizzle ORM, pgvector, and knowledge graphs for structured data access, semantic search, and relationship-aware AI reasoning across the platform.
• Led TanStack React Query migration across the application — replacing manual state management with centralised caching and automatic refetching, reducing data-fetching boilerplate significantly.
• Practiced AI-native development throughout: Claude Code, Codex, Perplexity SDK, and LLM-assisted testing across the full development lifecycle. Deployed on Vercel + Azure ACA with Biome for linting/formatting.

• Led migration to GCP using Terraform, GKE, and GitOps, improving deployment consistency and scalability
• Implemented Datadog observability stack via Terraform and datadog-operator
• Established automated end-to-end tests and on-call processes, improving incident response and service reliability
• Migrated from NGINX Ingress Controller to Kubernetes Gateway API (NGINX Gateway Fabric)
• Migrated stateful services (PostgreSQL and Redis) to GCP, improving scalability and operational reliability

• 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.

• Codebase Evaluation & Problem Design: Designed and stress-tested complex software engineering problems against large open-source Python codebases (including pandas), requiring deep context acquisition and architectural understanding to produce well-scoped, realistic problem statements aligned to strict correctness guidelines.
• Agent Failure Analysis: Assessed LLM coding agent solutions for correctness and completeness, identifying meaningful failures across edge case handling, dtype behaviour, and multi-column NaN propagation logic; documented findings with precision for downstream evaluation use.
• Programmatic Test Suite Development: Authored comprehensive pytest suites to programmatically verify agent-generated solutions against defined requirements, with deliberate coverage of boundary conditions and failure modes not caught by naive implementations.
• Containerised Environment Engineering: Built and debugged Docker environments for reproducible agent execution, including git-based repository provisioning, dependency pinning with npm ci, and multi-stage Dockerfile authoring across Linux-based containers.

• Context: Healthcare and laboratory teams required faster document analysis, treatment-planning support, and reliable AI workflows for MR/VR-assisted operations.
• Contribution: Built the AI healthcare platform, model/agent workflows, VR-glasses deployment platform, REST APIs, Next.js/React interfaces, and CI/CD pipelines.
• Impact: Delivered a production-ready AI product foundation that improved clinical document review, supported laboratory automation, and made VR fleet deployment manageable across environments.

Tech: TypeScript, Next.js, Node.js, React, Java, Spring Boot, Python, PyTorch, TensorFlow, Docker, PostgreSQL, OpenAPI, GitLab, GitHub Actions.

Intensive upskilling program to expand into fullstack, AI, and accessibility - preparing for freelance Angular/React projects with Next.js, Redux, and LLM integration.

Key achievements:

React - The Complete Guide (incl. Next.js, Redux): Comprehensive course on React Hooks, Redux Toolkit, React Router, Next.js App Router, React Server Components, Form Actions (React 19), authentication, unit testing, TypeScript integration, and fullstack apps with HTTP requests.

Practical Prompt Engineering Masterclass: Hands-on masterclass on prompt design, chain-of-thought, few-shot prompting, and LLM optimization for AI-powered frontend features like accessibility checks.

Understanding TypeScript: Deep dive into TypeScript types, interfaces, generics, and integration with React/Next.js for type-safe, scalable codebases.

Design Thinking: Methods for user-centered design, ideation, prototyping, and iteration - applied to accessible UI/UX concepts.

Web Accessibility Training Course WCAG 2.1 & 2.2 Compliance: Detailed WCAG 2.1/2.2 guidelines, BFSG requirements, audit techniques, ARIA widgets, and screen reader testing for compliant Angular/React applications.

New skills: Next.js, Redux, TypeScript, prompt engineering, WCAG, design thinking.

• Building and scaling cloud infrastructure on GCP to support a SaaS platform for industrial clients
• Designing and implementing a data-driven DevOps pipeline for streamlined deployment and CI/CD workflows
• Collaborating with Data Science team on MLOps workflow to automate integrated retraining

• Technical relaunch of the existing affiliate site based on Pimcore and Symfony
• Use of TailwindCSS for performant and flexible frontend design
• Implemented a CI/CD pipeline with GitHub Actions
• Used Redis for caching and performance optimization
• Responsible for DevOps tasks including system configuration and deployment
• Integrated the eBay API for automated data processing
• Managed tickets via YouTrack and team communication through Slack
• Test coverage with Codeception (unit & acceptance tests)
• Continuous development, maintenance, and performance improvement
• Designing new features and optimizing existing processes

• Supported the company's transition from an on-premise architecture to AWS cloud services, modernizing infrastructure and optimizing operational efficiency.
• Leveraged expertise in automation and software implementation to enhance scalability, reliability and profitability.
• Implemented Poetry and Ruff to streamline Python dependency management and code quality checks, improving development efficiency and reducing errors.
• Implemented an automated CI/CD strategy with GitHub Actions, which decreased deployment times and minimized manual intervention.
• Enforced deployment automation for Kubernetes, enhancing the scalability and reliability of applications across the organization.
• Evaluated and implemented Apache Airflow for workflow management, leading to more efficient scheduling and monitoring of data pipelines.
• Created data interfaces for energy traders, enabling them to optimize profit margins through improved data analysis and decision-making tools.

• Implemented and maintained logistics-domain applications using Angular, C#, ASP.NET, HTML5, CSS3, JavaScript, AJAX and Bootstrap
• Analyzed, designed, coded and deployed backend services and integrations using .NET, XML Web Services and RESTful APIs
• Developed automated SSIS packages and scheduled ETL jobs to support data workflows
• Built and maintained Python scripts for automation and prototyping; applied Cursor AI to build/refactor full-stack AI/ML model integrations
• Implemented unit and integration testing (NUnit) and conducted performance tuning for backend services
• Managed source control and CI/CD using GitHub, Azure CI/CD pipelines and TeamCity

• Optimized the Amp healthcare app alongside a senior developer, specifically enhancing data caching mechanisms which led to a 25% improvement in load times.
• Applied MVI architecture, resulting in a 30% decrease in bugs and streamlining testing processes.
• Implemented CI/CD with Bitrise, reducing deployment sizes from 120MB to 104MB.
• Led the migration of 40% of the Java codebase to Kotlin.
• Achieved 85% unit test coverage.

• Successfully migrated 99.9% of the users to the new app by automatically logging them in using the token retrieved from the old app.
• Facilitated more than 400k signups in the first 3 months after releasing the redesigned app by supporting phone, Apple, Google, and Facebook authentication methods implemented using Firebase.
• Helped more than 250k users successfully add their address by supporting search using Google Places and by selecting the exact location using Google Maps based on the service delivery zones.
• Skills: Firebase Auth, Google Places, Google Maps, Segment, Adjust, Braze, Rich Push Notifications

• 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.

• Created a CMS-driven portfolio app for showcasing projects with user authentication, CRUD operations, and Guest Mode.
• Designed and implemented full-stack architecture using Flask, SQLAlchemy, and Bootstrap 5.
• Integrated secure authentication and CSRF protection mechanisms.
• Deployed production-ready web app using Docker and Railway.
• Achieved full project cycle completion: design, development, testing, deployment, and documentation.
• Demonstrated Agile development principles and industry-standard software engineering practices.