Full Stack Developer with 3+ years of experience across the entire engineering spectrum - Python & Node.js backends, React & Vue.js frontends, data pipelines, DevOps, and production-grade agentic AI systems. I architect and ship complete platforms from the ground up, combining deep software engineering roots with cutting-edge AI Platform Engineering.
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I started my career as a Full Stack Developer building scalable backends with Python and Node.js, and polished frontends with React.js, Vue.js, and Vanilla JavaScript. Over time I evolved into AI Engineering focusing on Data & Scalable Platforms, making me a complete engineer who can own any layer of the stack.
Today I specialise in AI Platform Engineering designing and shipping agentic systems, MCP servers, RAG pipelines, and multi-agent runtimes. I open-sourced MCP servers with 73 tools and 15 resources in SAP and authored AgentOS, a multi-agent runtime that delivered 85% productivity improvement and 90% reduction in onboarding time.
I care about clean architecture, measurable impact, and building AI systems that don't break when they hit real users.
Python & Node.js backends, React.js & Vue.js frontends, REST & GraphQL APIs full ownership from DB to UI.
LangGraph, MCP, LiteLLM, Pydantic AI - multi-agent runtimes and RAG pipelines in production.
Data pipelines, vector databases (Qdrant, Pinecone), semantic retrieval and hybrid search systems.
Docker, Kubernetes, Terraform, CI/CD - infrastructure validated at 10x load spikes.
SAP Signavio · Sankt. Leon Rot / Heidelberg
SAP SE · Walldorf / Heidelberg
SRH University Heidelberg
Diebold Nixdorf · Hyderabad
First MCP server at SAP Signavio - open-sourced on SAP Enterprise GitHub with 73 tools and 15 resources. Enables Claude and other LLM clients to interact with Signavio's process intelligence platform via Anthropic's Model Context Protocol. Now the foundation for all agentic integrations at SAP Signavio.
Deterministic orchestration runtime for enterprise process intelligence. Coordinates specialised AI agents across process analysis, root cause identification, and insight generation. Achieved 85% productivity improvement and 90% reduction in manual onboarding time.
Shipped 5 production AI agents at SAP Signavio - RCAA (Root Cause Analysis), Conversational Diagnostics, Insights Voice, BPMN Agent, and Process Intelligence - cutting analyst time by 30%.
Designed and validated a Kubernetes-based autoscaling backend for AI agent workloads using HPA and custom metrics. Infrastructure as Code via Terraform. Validated at 10x load spikes in production.
Conversational Stock Live Dashboard – Fullstack AI Microservices Application This project is a Live stock market dashboard built with a microservices architecture. It enables users to interact with stock data in real-time using websockets that fetch real time stock data using 3rd party API's.
AI to create and organize new requests for procurement. If users want to buy a product or service they need to create a formal request to the procurement department. That will afterwards process this request. But with This Agent it retrieves all data from the PO and creates a new request for procurement uses redis for same bytes matching. this practice prevents faulty rejex parcing and AI Model calling.
I'm open to senior engineering roles, AI platform projects, and research collaborations. Based in Heidelberg, Germany - available for remote and hybrid opportunities.
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