I ship production agentic AI systems β on-prem stacks, multi-agent orchestration, RAG pipelines, MCP servers, with real latency and observability budgets.
- π Currently Senior Software Engineer at SELISE Group, architecting on-premise Enterprise GenAI ecosystems.
- π§ I specialize in LangGraph, RAG (Qdrant + LangChain), multi-agent systems, and MCP for tool-using agents.
- π― Three years shipping LLM systems where hosted APIs weren't an option. ~15% inference-latency wins. Sub-3s streaming for 30k+ users. Multi-million-msg/day IoT middleware.
- π Two published papers in computer vision (saliency-based fish classification at 100% accuracy; Parkinson's classification at 96.67%).
- βοΈ Writing the engineering posts I wish existed β debunking pieces, architecture teardowns, field notes from production.
- π Portfolio: rafsunjanyarman.com
- πΌ Open to senior / staff Agentic AI roles Β· Remote-friendly Β· EU / US / CH time zones.
- Agentic AI: LangGraph, LangChain, CrewAI, MCP (Model Context Protocol), Multi-Agent Systems
- RAG & Vector: Qdrant, hybrid search, chunking strategies, retrieval eval
- Real-time & Async: FastAPI, WebSockets, SignalR, Redis-based distributed cancellation
- Voice AI: LiveKit, Whisper, STT/TTS pipelines
- IoT: Spring Boot, ThingsBoard, MQTT, RabbitMQ, TimescaleDB
- Mobile / Web: Flutter (BLoC, Riverpod), React (Zustand)
- We Migrated from SSE to WebSockets. Cancellation Wasn't the Real Reason. in Level Up Coding
- Is CrewAI Really Async? Debunking the Asynchronous Myth & When Streaming Makes Sense β gitconnected
- Fortress of Flutter: Mastering Testing with Mocktail, Bloc Test, and Firebase β gitconnected
- Automate Flutter Unit Testing & Coverage with SonarQube β Medium
"Three years shipping production agentic AI. Now writing the war stories the tutorials don't cover."




