At Flickens, I architect and deploy production-grade AI agents, RAG engines, and workflow automations using LangChain, LangGraph, n8n, and FastAPI. I also integrate custom MCP servers and LLM APIs into client systems to automate business workflows and document processing.
I built a production RAG agent with PostgreSQL and pgvector retrieval, cross-encoder reranking, and model fallback between Groq and DeepSeek. I added Redis-backed response caching and security guardrails, and instrumented the pipeline with LangSmith.
I also built a document-based RAG knowledge assistant with dynamic state routing and an automated LangSmith evaluation pipeline using an LLM-as-a-judge approach.
Before Flickens, I engineered native Android applications at Hazel Mobile using Kotlin, MVVM, and Clean Architecture. I integrated Firebase services, REST APIs, Google Billing, and AdMob across applications with over 10M+ combined downloads.
