Hi, I'm Elsa Bakiu
Enterprise AI, from problem definition to shipped product. I scope the system, drive the architecture decisions, and work with engineering teams on delivery. Twelve years in complex organisations.
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I scope and drive AI products inside complex organisations, from problem definition through system design and delivery with engineering teams. Hands-on enough to build and validate POCs. Disciplined enough to scope what's actually worth building.
Full product ownership from problem definition to delivery: scoping the AI system, setting the quality bar, and working with engineering to ship what actually holds up. From first POC to something running in production.
Compliance scoped into the product brief, not patched on by legal. Risk classification, DPIA requirements, and AI Act obligations defined before a line of code is written.
Separating the real problem from the assumed one. Workflow mapping, stakeholder alignment, and MVP scoping so teams commit to the right build, not just the obvious one.
Defining what the agent needs to do, where it fails safely, and how quality is measured, then working with engineering to make it production-grade.
Products I've taken from concept to production, in regulated industries, with real users, under real constraints.
Self-directed builds across the AI stack, each exploring a specific capability, pattern, or problem worth understanding hands-on.
End-to-end pipeline: LLM script generation, TTS synthesis, and audio post-production. Script to MP3 in a single command.
RAG-powered assistant that generates on-brand content from a personal knowledge base, with human-in-the-loop quality gates.
Multi-source async pipeline with sentiment scoring, cost observability via LangSmith, and configurable summary depth.
Research engineer at Stanford HCI. Seven years building enterprise software at scale. A company founded. Now scoping and shipping AI products. The roles that shaped how I think are below.
HydroMapper GmbH · Remote
Rumio · Tirana
Unite Services GmbH · Munich/Remote
Pentland Firth Software GmbH · Munich
Stanford HCI Group · ACM UIST
Elsa took a workflow that required two people and a lot of manual entry and designed and built the AI pipeline to replace it, complete with compliance documentation and a system that an inspector can actually use in the field.