- Enterprise AI Automation: Architecting high-performance FastAPI backend systems that orchestrate data scrapers and LLMs to generate structured intelligence reports.
- Multimodal RAG Pipelines:Building production-grade asynchronous automation flows using n8n and LangChain to ingest, index, and query unstructured multimedia data.
- Production-grade AI Agent Workflows and complex LLM orchestration pipelines.
- Scalable backend architectures integrating advanced Vector Databases (MongoDB Atlas, FAISS).
- Deep model optimization, sequence modeling, and low-latency AI agent deployments.
- Contributing to open-source production tools in the Python backend and MLOps ecosystems.
- FastAPI / Flask Backend Engineering & secure REST API architecture.
- Multimodal Retrieval-Augmented Generation (RAG) systems.
- Workflow Automation Engines (n8n) & Vector Search Indexes.
I treat production pipelines like boss fights — debug, optimize, scale, deploy. 🦾
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