Open to opportunities

Ana Pengelly

@anapengelly

Message

Principal AI Agent Engineer building production LLM agents and hybrid RAG systems for scientific workflows.

Costa Rica

Message

What I'm looking for

I want to lead production LLM agent and hybrid RAG systems that reliably ship to real users—especially in medical or scientific contexts—where strong evaluation, iteration, and stakeholder impact matter.

I’m a Principal AI Engineer and PhD scientist with 10+ years of experience designing and deploying production-grade LLM agents, hybrid RAG systems, and agentic AI pipelines.

Currently at Jazz Pharmaceuticals, I build large hybrid RAG systems and LLM agents for medical and scientific writing workflows—delivering technical AI insights to stakeholders across R&D.

My deep expertise spans Claude and GPT-4, AWS Bedrock, Langchain, and MongoDB, with a unique blend of advanced ML engineering and biomedical domain knowledge.

In earlier roles, I shipped an MVP AutoRemediation AI Agent for cybersecurity, built RAG/agentic ML product improvements, and led GPT-4/Claude agents for dataset augmentation, ontology creation, and NER—moving agentic pipelines into production.

Experience

Work history, roles, and key accomplishments

Current

Principal AI Engineer

Current

Jazz Pharmaceuticals

Oct 2025 - Present (6 months)

Building LLM agents and large hybrid RAG systems to support medical and scientific writing workflows and provide technical AI insights to stakeholders across R&D.

Hybrid RAG Claude GPT 4 Prompt Engineering Pydantic MongoDB

Current

Honorary Research Associate

Current

Imperial College London

Jul 2022 - Present (3 years 9 months)

Mentored MSc students in health data analytics and machine learning (honorary, unpaid) and served as a guest lecturer for Recurrent Neural Networks and Molecular Epidemiology modules.

Recurrent Neural Networks Health Data Analytics Python Student Project Guidance

Senior Data Scientist

Smithy Security

Jun 2025 - Aug 2025 (2 months)

Designed and delivered a production-ready MVP AutoRemediation AI agent that identifies and fixes cybersecurity vulnerabilities in Python scripts within a short timeframe.

AI Agents Python Security Automated Remediation Prompt Engineering

Senior Data Scientist

Etiq.AI

Mar 2025 - Apr 2025 (1 month)

Consulted on RAG, LLM, and agentic AI products, streamlining key product functions and identifying areas for improvement, including an agentic version of their ML pipeline testing.

LLM Agentic AI Prompt Engineering

Advanced Data Scientist

BenevolentAI

Aug 2022 - Feb 2025 (2 years 6 months)

Developed a drug discovery copilot using LLMs, LangChain, and RAG, saving drug discoverers hundreds of hours of daily workload. Built production agents for dataset augmentation, ontology creation, and NER (hundreds of terms added), plus graph-to-text generation for training data (thousands of novel sentences).

LLMs (LangChain NER Knowledge Graphs LSTM Classification Weights Biases

Data Scientist

Visa Europe

Sep 2020 - Jul 2022 (1 year 10 months)

Applied explainable ML to UK Biobank health data to model environmental exposures on cardiovascular disease, including analyses linking Visa transaction data patterns to behavioral traits associated with CVD incidence (with Imperial College involvement).

Cardiovascular Disease Modeling Python Model Evaluation Mentorship

Postdoctoral Fellow

The Francis Crick Institute

Jan 2016 - Jan 2019 (3 years)

Conducted functional analysis of transcriptional regulation by dFOXO during stress response.

Functional Analysis Transcriptional Regulation DFOXO Stress Molecular Biology

Education

Degrees, certifications, and relevant coursework

Skiller Whale

Online course, Advanced Python

2024 - 2025

Studied Advanced Python via Skiller Whale during 2024–25.

HarvardX

Online course, TinyML

2024 - 2024

Studied TinyML via HarvardX in 2024.

Imperial College London

Master of Science (MSc), Health Data Analytics & Machine Learning

Grade: With Distinction

Activities and societies: Full Scholarship, School of Public Health

MSc in Health Data Analytics & Machine Learning at Imperial College London, completed in 2020. Awarded With Distinction and funded via a full scholarship.

Université Paris Diderot (Paris 7)

Bachelor of Science (BSc) & Master of Research (MRes), Genetics

Grade: With Distinction

Activities and societies: Excellence-Major Fellowship

BSc & MRes in Genetics at Université Paris Diderot (Paris 7), completed in 2010. Awarded With Distinction and supported by an Excellence-Major Fellowship.

Max-Planck Institute / LMU Munich

Doctor of Philosophy (PhD), Molecular Biology & Genetics

2015 -

Grade: With Distinction

Activities and societies: Marie-Curie FPN7 Fellowship

PhD in Molecular Biology & Genetics (Marie-Curie FPN7 Fellowship) conducted through the Max-Planck Institute and LMU Munich. Awarded With Distinction.