AI Engineer

LLM applications, intelligent workflows, and AI systems built for real use.

I build practical AI products and automation systems that help teams work more effectively with language, information, and complex workflows.

About

Applied AI engineering with a strong sense of product, systems, and clarity.

I work as an AI Engineer building LLM-based applications, automation systems, and end-to-end AI workflows for real-world use cases.

My experience spans intelligent systems, document and information pipelines, multi-step automation, and the practical work of connecting models, APIs, interfaces, and business needs into something people can actually use.

Alongside implementation, I care about making AI systems interpretable, usable, and well communicated. That combination of engineering and explanation shapes both the project work and the writing.

Portrait of Ingrid Stevens

What I Bring

Experience across the parts of AI work that have to come together to ship.

LLM application development

Designing and building tools for search, extraction, analysis, structured outputs, and human-facing AI interactions.

Workflow and automation design

Turning fragmented steps into usable systems by connecting models, APIs, data flows, and interface logic.

Technical judgment and communication

Translating complex AI systems into something legible for teams, stakeholders, and real operational settings.

Selected Work

Projects spanning retrieval, structured outputs, audio workflows, and applied AI tooling.

Legal Document Assistant

A retrieval-augmented application for interacting with legal documents, designed to make complex information more accessible and actionable.

RAG OpenAI Pinecone Legal AI

Audio Intelligence Workflow

A transcription and querying pipeline using speech and language models to turn audio content into searchable knowledge.

Whisper LangChain Audio Search

Applied AI Prototypes

Practical experiments exploring local LLMs, structured workflows, and human-centered interfaces for useful AI systems.

Local LLMs Automation Prototyping

Writing

Writing that reflects the technical themes behind the work.

My writing focuses on structured outputs, retrieval-based systems, legal and regulatory text, local LLM experimentation, and the broader questions around how AI systems become genuinely useful in practice.

It complements the project work by showing not only what I build, but how I think about building AI systems that are practical, understandable, and worth using.

Contact

Need help designing or building an AI product, workflow, or prototype?

If you’re working on something thoughtful in AI and think there may be a fit, the best way to reach me is on LinkedIn.

Message me on LinkedIn