Farhan Kamil Hermansyah@BadsFarmil
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Indonesia
1 year of experience
About me
I specialize in building production-ready, multi-agent AI architectures and advanced Retrieval-Augmented Generation (RAG) pipelines. My focus is on bridging raw LLM capabilities with structured, deterministic business logic. My hands-on experience includes developing several complex AI systems: GraphWeaver: Engineered an investigative data mapping system utilizing Neo4j and LangGraph to autonomously extract, map, and navigate complex entity relationships from unstructured data. Domain-Specific RAG Systems: Developed ScholarSync (an AI research assistant) and ExportAI (an intelligence system for navigating complex export regulations for the Digdaya Hackathon 2026). Both utilize dynamic RAG pipelines, integrating Vector Databases (Pinecone/ChromaDB) with LangChain. Autonomous B2B Workflows: I design systems that don't just chat, but execute tasks. I integrate these cognitive AI engines into production pipelines using n8n and FastAPI, implementing strict state management and structured JSON outputs. Additionally, my work in applied Generative AI earned me a spot as a Top 20 Finalist in the AI Talent Hub Indonesia 2026. I am highly focused on building reliable, autonomous agents with hybrid database architectures (Graph + Vector) to solve real-world industry bottlenecks.
