Designing and deploying AI systems where correctness, traceability, and user experience actually matter.
I’m Elena — a forward deployed engineer and AI/full-stack developer who cares about shipping real systems, not just demos.
I design and build AI-powered automation end-to-end: from data extraction and ML pipelines to evaluation, monitoring, and production-ready web apps. I work especially well in messy, high-stakes environments (regulation, compliance, operations) where data is imperfect, users are busy, and correctness actually matters.
Alongside industry work, I’m a lecturer in Software Engineering, AI & NLP, turning complex topics into projects that non-CS students can actually build and deploy.
When I’m offline you’ll usually find me snowboarding, surfing, climbing in the Himalayas, teaching yoga, or scuba diving with whale sharks and manta rays. =)
Highlights
- Forward Deployed Engineer building AI automation in highly regulated industries
- Lecturer / TA teaching Software Engineering, AI & NLP at university level
- MSc Data Science & AI for the Creative Industries (UAL CCI)
- Experience across the full stack: frontend, backend, data, MLOps, and infrastructure
- Certified yoga teacher, scuba diver, mountain lover, and long-time tech nerd
- Design and implementation of LLM/ML pipelines (retrieval, validation, enrichment, classification)
- Data extraction and normalisation from PDFs, scans, APIs, legacy CSVs
- Evaluation, monitoring and human-in-the-loop review for trustworthy systems
- React / Next.js frontends, FastAPI / Flask / Node backends
- Architecting and deploying to AWS / GCP / serverless with CI/CD and IaC
- Turning vague requirements into low-friction tools that people actually use
- Project-based labs, assessments, and curricula in AI, NLP, and software engineering
- Reusable notebooks, exercises, and starter repos for students and teams
- Clear explanations of vectors, LLMs, and MLOps for non-traditional backgrounds
- AI automation and agents for real-world operations (compliance, logistics, finance, housing)
- Data and MLOps pipelines from ingestion through feature stores to evaluation dashboards
- AI and software engineering education for non-traditional and non-CS backgrounds
- AI x creativity: interactive experiences where art, data, and language models meet
If you are working on AI products with real users and real constraints, I am open to collaboration and conversations.
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AI Automation in Regulated Workflows
Design and implementation of AI systems for validation, optimisation, and orchestration of complex business processes where every decision must be auditable and explainable. -
Full-Stack AI Products
End-to-end delivery of applications combining React / Next.js frontends, FastAPI / Flask backends, RAG/LLM pipelines, and cloud infrastructure (AWS/GCP) with CI/CD and monitoring. -
University-Level Teaching in AI & Software Engineering
Project-based modules for students from business, creative, and design backgrounds learning Python, NLP, and generative AI. -
“The Art Speaking to You”
Research and prototype for AI-driven interactive museum experiences, exploring how people engage with artworks when they can respond dynamically.
For concrete examples, see the pinned repositories on this profile.
