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Collaborative project built at Kaggle Week 26 GenAI Hackathon, contributed the core AI engineering layers of a Business Law RAG Assistant that answers legal document queries with source citations and live faithfulness verification.
My contributions: built the hybrid FAISS + BM25 retrieval pipeline for accurate document search; designed the multi-agent orchestration system coordinating retrieval, generation, and verification agents; implemented the faithfulness verification layer to evaluate and score LLM output quality; integrated an MCP tool server enabling live web search as a fallback; and built the analytics dashboard tracking query performance and retrieval metrics.
Built as part of a 4-person team, my work covered the RAG pipeline, agentic architecture, and evaluation infrastructure.
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I help businesses scale through custom AI engineering services.
This video outlines my services for creating consistent AI characters and cinematic AI ads for brands looking to stand out.
Whether you need a full brand film or specific automation tools, I focus on delivering high-quality assets that align with your business goals.
Every project starts with a clear brief and a strategic approach. If you are unsure where to begin, I suggest starting with an AI audit to identify the best opportunities for automation within your current operations.
Let me know in the comments what kind of content you are trying to produce for your brand.
I like how you kick off with a clear brief and an AI audit to map out the automation opportunities.