I build AI systems that work in production — not just in notebooks.
I'm Elena — a forward deployed engineer who ships AI-powered systems end-to-end: from data pipelines and LLM orchestration to serverless infrastructure and production monitoring.
I work best in messy, high-stakes environments where data is imperfect, users are busy, and correctness actually matters.
I also teach Software Engineering, AI & NLP at university level, turning complex topics into projects that non-CS students can 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 teaching Software Engineering, AI & NLP at university level
- MSc Data Science & AI for the Creative Industries (UAL CCI)
- Full stack: AI pipelines, cloud infrastructure, serverless, frontend, backend
- Certified yoga teacher, scuba diver, mountain lover, long-time tech nerd
- LLM pipelines — RAG, enrichment, classification, orchestration
- Computer vision with Google Lens, AWS Bedrock, and Claude
- Data extraction from PDFs, scans, APIs, legacy CSVs
- Evaluation, monitoring, and human-in-the-loop review
- AWS Lambda, Bedrock, S3, DynamoDB — serverless-first
- Terraform, GitHub Actions, CI/CD pipelines
- Infrastructure as code, automated deployments, observability
- React / Next.js frontends, FastAPI / Flask / Node backends
- Turning vague requirements into low-friction tools that people actually use
- Project-based labs and curricula in AI, NLP, and software engineering
- Clear explanations of LLMs, vectors, and MLOps for non-traditional backgrounds
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AI Systems for Complex Workflows Design and deployment of AI pipelines for validation, enrichment, and orchestration where every decision must be traceable.
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Serverless AI Microservices Lambda-based services with LLM reasoning, computer vision, and structured data extraction — TDD, Terraform, production-monitored.
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Full-Stack AI Products End-to-end applications: React frontends, Python backends, RAG/LLM pipelines, AWS infrastructure, CI/CD, and observability.
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University-Level Teaching Project-based modules in AI, NLP, and software engineering for students from business, creative, and design backgrounds.
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"The Art Speaking to You" Research prototype for AI-driven interactive museum experiences — exploring how people engage with art when it can respond.
See pinned repositories for examples.
