Victoria Daug

AI Engineer & Product-Focused Builder — shipping production AI systems that actually work.

About

Product-focused builder with deep roots in early-stage execution. One of the first engineers at a startup that grew through to acquisition. Built and shipped across the stack — driving product decisions, working with stakeholders, hiring and mentoring.

Now building AI systems with LLMs and agentic workflows, combining hands-on engineering with a product mindset to create tools that are reliable, structured, and useful in practice.

What I Do

LLM Pipeline Architecture

Build production RAG systems and LLM pipelines — not demos. Architectural discipline: tokens only where language understanding matters.

Agentic AI Workflows

Create autonomous systems with tool use, memory, guardrails, and human-in-the-loop controls. Agents that work, not chatbots that hallucinate.

Cost & Latency Optimization

First-class concern, not afterthought. 60% cost reduction vs naive implementations. Sub-2s latency. Predictable, auditable behavior.

Evaluation-Driven Development

Measure what matters: precision, coverage, cost per query. Not vibes. Hard numbers that prove quality.

Projects

Private RPC

AI consultancy delivering production systems — not prototypes. Core principle: spend tokens only where language understanding matters. Built on 8 years of software engineering + deep LLM expertise.

Consultancy Production AI End-to-End

Agentic Regulatory RAG

End-to-end RAG pipeline solving semantic gap between informal queries and formal legal language. Dual HyDE retrieval, RRF fusion, custom evaluation. Precision: 0.76 → 0.95. Citation coverage: 33% → 90%.

RAG LLM Pipeline Evaluation LangGraph

Acre CRM

Joined as 3rd engineer, stayed 7+ years through acquisition by ClearScore Group. Built cutting-edge CRM platform for mortgage brokers from inception to scale.

Fintech Full-Stack Scale-Up

Skills

Python TypeScript LangGraph LangChain RAG Agentic AI FastAPI Next.js React GraphQL Qdrant LLM Evaluation

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