Kieran Fraser
WICKLOW / IRELAND
Hand-drawn editorial portrait of Kieran Fraser

Kieran Fraser, PhD

Staff Machine Learning Engineer. Production ML, fraud detection and adversarial AI safety. Dublin, Ireland — open to remote / EU-based roles.

kfraser9292@gmail.com · linkedin.com/in/kieran-fraser-phd-608a54a7 · github.com/kieranfraser · Google Scholar · kieranfraser.ie

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Summary

Staff Machine Learning Engineer with a PhD in Computer Science and eight-plus years spanning production machine learning, fraud and trust & safety systems, and adversarial AI research. Currently build and deploy fraud-detection models protecting 50M+ PayPal users; previously a Research Engineer on IBM's Security and Privacy of AI team building open-source LLM red-teaming and guardrail tools (HEART, ART, ARES, Granite Guardian), and a PhD researcher designing more considerate, context-aware notification and engagement systems, commercialised as the startup EmPushy. Comfortable across the full arc from research to production: shipping models at scale, filing patents, and translating ML work into customer- and business-facing outcomes.

Core skills

Machine learning & AI — machine learning, deep learning, PyTorch, TensorFlow, scikit-learn, large language models (LLMs), generative AI, retrieval-augmented generation (RAG), vector databases, LLM fine-tuning (LoRA/PEFT), prompt engineering, computer vision (image & video classification, object detection, segmentation), graph neural networks, adversarial robustness, AI red-teaming & guardrails, synthetic data generation, agentic AI, fraud detection, MLOps
Engineering — Python, Java, C++, JavaScript, SQL & NoSQL, Docker, Node.js, React, HTML5/CSS/SCSS
Cloud & infrastructure — AWS (SageMaker, Lambda, S3, DynamoDB, API Gateway, ECR, Batch, EC2, IAM, Cognito, Athena, Glue, Amplify), Google Cloud Platform, Microsoft Azure
Leadership & delivery — technical mentorship, cross-functional collaboration, patent development, project management, customer & trial-partner engagement, academic research & publication

Experience

Staff Machine Learning Engineer, PayPalNOV 2025 – PRESENT · DUBLIN
  • Deployed a flagship identity and onboarding fraud-detection foundation model serving 50M+ PayPal users, improving on prior versions across detection accuracy, efficiency and explainability.
  • Shaped architecture and strategy for a redesign of PayPal's Global Fraud Prevention platform, partnering with cross-domain teams.
  • Lead inventor on a filed patent applying model-uncertainty measures to adaptive step-up authentication; founded a cross-team patent group within the Fraud & Data Science Centre of Excellence to help colleagues navigate the IP process.
  • Mentor two engineering interns.
Research Engineer, IBM ResearchAUG 2022 – NOV 2025 · DUBLIN
  • Contributed to HEART, ART and ARES — IBM's open-source toolkits for adversarial-robustness evaluation and automated LLM red-teaming — including 104 commits to HEART per its public contributor record.
  • Extended adversarial-robustness evaluation and defense coverage in ART across computer vision (image and video classification, object detection, segmentation) and graph-based models.
  • Co-authored peer-reviewed and arXiv research on LLM guardrails, jailbreak detection and red-teaming methodology (Granite Guardian, MoJE, MAD-MAX, Attack Atlas), plus synthetic data generation and agentic-AI workload management.
  • Named inventor on four published patent applications spanning federated learning, retrieval-augmented generation security, visual-content anonymisation and model-capability analysis.
  • Represented IBM at IEEE ERAS 2025 (Worcester Polytechnic Institute) and AI4Media's demonstration sessions at the University of Florence.
Research Assistant, ADAPT Centre for Digital Content TechnologySEP 2020 – AUG 2022 · DUBLIN
  • Led an Enterprise Ireland-funded Feasibility Study and Commercialisation project (EmPushy) in empathetic push-notifications, recruiting and managing a small team.
  • Built and deployed an MVP; analysed 3M+ real-world notifications and presented findings directly to partner CTOs and R&D leads.
  • Managed AWS infrastructure, GDPR compliance and IP documentation for the project.
Earlier experience2013 – 2016

Android Engineer at Lumafit (2016) — migrated a local Android database to a real-time cloud backend. Executive Officer at the Revenue Commissioners (2015) — rebuilt internal web applications with the Spring Framework. Data Analyst at the Aon Centre for Innovation & Analytics (2014) — built a BI dashboard (SQL, Tableau) presented to ACIA's CEO, CBO and CCO. Post-processing Engineer at Septentrio, Belgium (2013) — contributed to in-house testing and CI (Jenkins) for satellite-navigation software.

Education

PhD Computer Science, Trinity College DublinSEP 2016 – MAR 2021 · DUBLIN

Thesis: ETHOS Push — EmpaTHetic Orchestration of Scrutable Push. A framework for transparent, context-aware, empathetic push-notification delivery.

MAI Computer Engineering, Trinity College DublinSEP 2015 – MAY 2016 · DUBLIN

Graduated with Distinction.

BAI Computer Engineering & BA Mathematics, Trinity College DublinSEP 2011 – MAY 2015 · DUBLIN

Graduated with Second Class Honours, First Division (2.1).

Selected publications

19 publications in total. Full list on Google Scholar or the Work page.

Granite Guardian: Comprehensive LLM Safeguarding I. PADHI, M. NAGIREDDY, G. CORNACCHIA, ET AL. · NAACL 2025
Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI A. RAWAT, S. SCHOEPF, G. ZIZZO, G. CORNACCHIA, K. FRASER, ET AL. · 2024
MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks G. CORNACCHIA, G. ZIZZO, K. FRASER, ET AL. · AAAI/ACM AIES 2024
ETHOS Push: An Approach toward Empathetic Orchestration of Scrutable Push — PhD thesis, Trinity College Dublin 2021
A Context-Aware, Info-Bead and Fuzzy Inference Approach to Notification Management K. FRASER, B. YOUSUF, O. CONLAN · UEMCON 2016 · BEST PAPER AWARD

Patents

Named inventor on four published IBM applications and two further applications filed at PayPal (not yet public). Full record on Google Patents.

Hobbies

CrossFit, golf, tag rugby, art, photography, VR and photogrammetry — more on the Elsewhere page.