Hello, I'm Sean Moran 👋

AI Engineer leading GenAI use-case deployment for the most sophisticated and high-profile financial entities. I specialize in turning cutting-edge research into scalable production systems — with deep expertise in vision, NLP, and retrieval.

🚀 Scaled GenAI across Fortune 100 enterprise use-cases
🧠 40+ publications • 60+ filed patents (8 granted) • 10+ OSS tools
🎓 PhD at EdinburghNLP • AWS Certified • DeepLearning.AI Certified

Side Projects & Open Source

• arxiv-acronym-gen – 10K+ acronym–expansion pairs for training LLMs
• arxiv-tagged-papers – Semantic keyword tags for 3M+ arXiv papers
• SpamT5: LLM-Powered Spam Detection – Intelligent Spam Filtering
• CryptoPanda – Backtesting a Crypto Coin Scanner
• CodeQuest – LLM-powered code review
• ai-prepline – Text preprocessing pipelines
• DeepLPF – CVPR 2020 image enhancement toolkit
• CURL – ICPR 2020 neural curve layers for enhancement
• Low-Light Video Enhancer – ECCV 2020 implementation
• SKLCRM – An enhancement of Lavrenko's relevance model for image annotation. Winner of Best Paper at ICMR'14.
• Satire Classifier – Naive Bayes NLP demo

Data Science Articles

• Learning From Pairwise Preferences: An Introduction to the Bradley Terry Model Published on Medium NEW
• I Analyzed Every YC Company From Winter 2024 to Winter 2026. Here’s What’s Actually Changing Published on Medium NEW
• LLM Agents Are Still in the Age of Phone Whistling Published on Medium NEW
• Software Development After the IDE Published on Medium NEW
• I Built a Tiny Computer Inside a Transformer Published in TDS NEW
• What the Bits-over-Random Metric Changed in How I Think About RAG and Agents Published in TDS
• Why Some RAG Queries Cannot Be Solved by Vector Search Alone Published on Medium
• Agentic Thinking: Building AI Systems That Know When They’re Wrong Published on Medium
• Why Your Multi-Agent System is Failing: Escaping the 17x Error Trap of the "Bag of Agents" Published in TDS
• NeurIPS 2025 Best Paper Review: Qwen’s Systematic Exploration of Attention Gating Published in TDS
• Forget Choosing K: How the Distance-Dependent CRP Learns Clusters Automatically
• Thinking Clearly With AI: On Judgment, Drift, and Software Craft
• Data Science 101: An Overview of K-Means
• I Backtested an AI Crypto Scanner Over 4 Years — Here’s What the Data Showed
• Learning to Hash – Finding the Needle in the Haystack with AI
• Using Interval Trees to Compute Intersections Fast
• Senatus AI: Software Development Re-invented
• How Relevance Models Foreshadowed Transformers for NLP Published in TDS
• Everyday Decisions are Noisier Than You Think — Here’s How AI can Help Fix That Published in TDS
• From Tokens to Theorems: Building a Neuro-Symbolic AI Mathematician Published in TDS
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Patents

Systems and Methods for Federated Secure Vocabulary Learning
Fanny Silavong, Antonios Georgiadis, Sean Moran, Brett Sanford, Rob Otter
US Patent 12,284,160 B2 · Issued: April 22, 2025
Filed: February 16, 2022 · Assignee: JPMorgan Chase

Systems and Methods for Source Code Understanding Using Spatial Representations
Ruibo Shi, Sean Moran, Lili Tao, Fanny Silavong, Rohan Saphal
US Patent 12,242,829 B2 · Issued: March 4, 2025
Filed: November 14, 2022 · Assignee: JPMorgan Chase

Systems and Methods for Counteracting Data-Skewness for LSH via Feature Selection and Pruning
Sean Moran, Fanny Silavong, Rob Otter, Antonios Georgiadis, Brett Sanford
US Patent 12,229,100 B2 · Issued: February 18, 2025
Filed: September 27, 2021 · Assignee: JPMorgan Chase

Systems and Methods for Detecting Code Duplication in Codebases
Inventors: Sean Moran et al.
US Patent 12,159,427 B2 · Issued: December 3, 2024
Filed: December 12, 2022

Systems and Methods for Anonymizing Biometric Data
Inventors: Sean Moran et al.
US Patent 11,919,896 B2 · Issued: March 5, 2024

Systems and Methods for Providing Model-Generated Content Based on Private Data
Jacky Chan, Sebin Thomas, Terry Tang, Michael Leung, Fei Chen, Sean Moran, Amal Vaidya, Senad Ibraimoski, Mohan Vankayalapati
US Patent App. 2025/0138869 A1 · Published: May 1, 2025
Filed: October 4, 2024

Systems and Methods for Generating Semi-Structured Term Sheets Using Neural Information Retrieval
Maxime Labonne, Sean Moran, Dan Clesham, Lily McInerney
US Patent App. 2025/0021763 A1 · Published: January 16, 2025
Filed: July 8, 2024

Systems and Methods for Prediction of Test Failures
Georgios Papadopoulos, Fanny Silavong, Sean Moran, Alla Nadein
US Patent App. 2025/0013555 A1 · Published: January 9, 2025
Filed: July 7, 2023

Systems and Methods for ML-Based Multi-Lingual Pronunciation Generation
Inventors: Sean Moran et al.
US Patent App. 2024/0153485 A1 · Published: May 9, 2024
Filed: October 27, 2023

Systems and Methods for Learning from Unlabeled Data Using Persistent Homology
Inventors: Sean Moran et al.
US Patent App. 2024/0378444 A1 · Published: July 30, 2024
Filed: June 9, 2022

Systems and Methods for Generating Contextual Table Embeddings for Tabular Data
Inventors: Sean Moran et al.
US Patent App. 2024/0242024 A1 · Published: July 18, 2024
Filed: March 7, 2023

🔊 Podcast: Latest Research (~15 min)

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Publications

Full list of 40+ publications across AI, NLP, CV, Retrieval, and Federated Learning.

Published and Presented Work

Learning-Based Hashing for ANN Search: Foundations and Early Advances
Sean Moran. In Arxiv, 2025

ADKit: A Framework for Anomaly Detection from Natural Language
Kostis Gourgoulias, Senad Ibraimoski, Gaston Liberman, Alex Cazan, Mohammed Ayub, Andre Frade, Leandro Rios, Sean Moran. In FinanSE, 2025

Using AI/ML to Find and Remediate Enterprise Secrets in Code & Document Sharing Platforms
Gregor Kerr, David Algorry, Senad Ibraimoski, Peter Maciver, Kostis Gourgoulias, Sean Moran. In FinanSE, 2025.

LLMs as Interfaces for Cloud Migration
Gregor Kerr, Amal Vaidya, Mohan Vankayalapati, Jacky Chan, Senad Ibraimoski, Bismayan Chakrabarti, Sean Moran. In FinanSE, 2025

Efficient and Explainable Anomaly Detection in Financial System Logs using Statistical Modeling
Mohammed Ayub, Mauro Annarumma, Kostis Gourgoulias, Gaston Liberman, David Algorry, Najah Ghalyan, Sean Moran. In FinanSE, 2025

A Probabilistic Model for API contract Specification Retrieval focusing on the OpenAPI Standard
Sae Young Moon, Gregor Kerr, Fran Silavong, Sean Moran. In Data Mining and Knowledge Discovery Journal, 2024
[ Code ]

CodeQUEST: Evaluation and Improvement of Code Quality Using LLMs
Rundong Liu, Andre Frade, Amal Vaidya, Maxime Labonne, Marcus Kaiser, Bismayan Chakrabarti, Sean Moran. In 2025 IEEE 36th International Symposium on Software Reliability Engineering Workshops (ISSREW).
[ Code ]

An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLMs Fine-Tuning
Najah Ghalyan, Kostis Gourgoulias, Yash Satsangi, Sean Moran, Maxime Labonne, Joseph Sabelja. In TMLR, 2024.

Model-Agnostic Utility-Preserving Biometric Information Anonymization
Bill Moriarty, Chun-Fu Chen, Shaohan Hu, Sean Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati. In International Journal of Information Security, 2024.

DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal
Jialei Shi, Najah Ghalyan, Kostis Gourgoulias, John Buford, Sean Moran. In ECCV Workshop on Unlearning, 2024
[ Slides ]

Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection
Maxime Labonne, Sean Moran. In FinLLM 2023 @ IJCAI
[ Code ]

A Benchmark Generative Probabilistic Model for Weak Supervised Learning
Georgios Papadopoulos, Fran Silavong, Sean Moran. In ECML PKDD, 2023.

Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training
Xiaoying Zhi, Varun Babbar, Pheobe Sun, Fran Silavong, Ruibo Shi, Sean Moran. In Data Mining and Knowledge Discovery Journal, 2025

API-Miner: an API-to-API Specification Recommendation Engine
Sae Young Moon, Gregor Kerr, Fran Silavong, Sean Moran. In The 1st Workshop on Software Engineering Challenges in Financial Firms (FinanSE), 2024
[ Code ]

Towards Data Efficient and Robust Speech Representation Model Distillation
Pheobe Sun, Ruibo Shi, Ahmad Emami, Sean Moran. In NeurIPS ENLSP Workshop, 2022.
[ Slides ]

Code Librarian: A Software Package Recommendation Engine
Lili Tao, Alexandru-Petre Cazan, Senad Ibraimoski and Sean Moran. In ICSE SEIP, 2023.

Topical: Learning Repository Embeddings from Source Code using Attention
Agathe Lherondelle, Varun Babbar, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean Moran. In The 1st Workshop on Software Engineering Challenges in Financial Firms (FinanSE), 2024.

Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-Modal Unsupervised Learning
Xiaoying Zhi, Yash Satsangi, Sean Moran, Shaltiel Eloul. In CIKM, 2022.
[ poster ]

Utility Preserving Biometric Information Anonymization
Bill Moriarty, Chun-Fu Chen, Shaohan Hu, Sean Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati. In ESORICS, 2022.

CV4Code: Sourcecode Understanding via Visual Code Representations
Ruibo Shi, Lili Tao, Rohan Saphal, Fran Silavong, and Sean Moran. In ACCV, 2022.
[ poster ] [ code ]

Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies
Shaltiel Eloul, Fran Silavong, Sanket Kamthe, Antonios Georgiadis, Sean Moran. In WACV, 2024.
[ talk ] [ poster ]

Senatus: A Fast and Accurate Code-To-Code Recommendation Engine
Fran Silavong, Sean Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter. In Mining Software Repositories (MSR), 2022.
[ bibtex ]

ST-FL: style transfer preprocessing in federated learning for COVID-19 segmentation
Antonios Georgiadis, Varun Babbar, Fran Silavong, Sean Moran, Robert Otter. In SPIE Medical Imaging, 2022.
[ poster ]

Improving Streaming Cryptocurrency Transaction Classification via Biased Sampling and Graph Feedback
Shaltiel Eloul, Sean Moran, Jacob Mendel. In ACSAC, 2021.

Low light video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping
Danai Triantafyllidou, Sean Moran, Steven McDonagh, Sarah Parisot, Gregory Slabaugh. In ECCV, 2020.
[ bibtex ] [ code ] [ supplementary ] [ 10 min video ] [ 1 min video ]

DeepLPF: Deep Local Parametric Filters For Image Enhancement
Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory Slabaugh. In CVPR, 2020.
[ bibtex ] [ code ] [ supplementary ] [ poster ] [ slides ] [ 1 min video ]

CURL: Neural Curve Layers for Global Image Enhancement
Sean Moran, Steven McDonagh, Gregory Slabaugh. In ICPR, 2020.
[ bibtex ] [ talk (ICPR) ] [ talk (IADS) ] [ poster ] [ code ] [ video ] [ supplementary ]

NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network
Hao Guan, Liu Liu, Sean Moran, Fenglong Song, Gregory Slabaugh. In Arxiv, 2019.
[ bibtex ]

A Novel Genomics-Based Platform for the Creation of Environmental-Responsive Gene Promoters
Juan Manuel Iglesias, Ross M. Fraser, Sean Moran, Patricia del Rio, Katie Baker, Sinclair Cooper, Graham Whyteside, Nicolle Kippen, Polyxeni Katsoupi, Rinku Rajan, Jorge Yanez, Michael L. Roberts. In Molecular Therapy 2018.
[ Abstract ]

Learning to Hash for Computer Vision and Image Retrieval
Sean Moran. In Arxiv, 2019.

Learning to Project and Binarise for Hashing Based Approximate Nearest Neighbour Search
Sean Moran. In SIGIR, 2016.
[ bibtex ] [ poster ]

Enhancing First Story Detection using Word Embeddings
Sean Moran, Richard McCreadie, Craig MacDonald, Iadh Ounis. In SIGIR, 2016.
[ bibtex ]

Learning to Hash for Large-Scale Image Retrieval
Sean Moran. (PhD thesis, 2015)
[ bibtex ]

Regularised Cross-Modal Hashing
Sean Moran, Victor Lavrenko. In SIGIR, 2015.
[ bibtex ] [ poster ] [ code ] [ datasets ]

A Note on Automatic Kernel Carpentry for Atomistic Support of Continuum Stress
Manfred Ulz, Sean Moran. In Arxiv, 2015.
[ bibtex ]

Graph Regularised Hashing
Sean Moran, Victor Lavrenko. In ECIR, 2015.
[ bibtex ] [ talk ] [ poster ] [ code ] [ datasets ]

A Sparse Kernel Relevance Model for Automatic Image Annotation
Sean Moran, Victor Lavrenko. In IJMIR, 2014.
[ bibtex ] [ code ] [ datasets ]

Sparse Kernel Learning for Image Annotation
Sean Moran, Victor Lavrenko. In ICMR 2014 (Best Student Paper).
[ bibtex ] [ talk ] [ code ] [ datasets ]

Real-Time Detection, Tracking and Monitoring of Discovered Events in Social Media
Sean Moran et al. In ACL, 2014 (Demo)
[ bibtex ]

Optimal Kernel Shape and Bandwidth for Atomistic Support of Continuum Stress
Manfred Ulz, Sean Moran. In MSMSE, 2013.
[ bibtex ]

Variable Bit Quantisation for LSH
Sean Moran, Victor Lavrenko, Miles Osborne. In ACL, 2013.
[ bibtex ] [ talk ] [ code ] [ datasets ]

Neighbourhood Preserving Quantisation for LSH
Sean Moran, Victor Lavrenko, Miles Osborne. In SIGIR, 2013.
[ bibtex ] [ poster ] [ code ] [ datasets ]

A Gaussian mixture modelling approach to the data-driven estimation of atomistic support for continuum stress
Manfred Ulz, Sean Moran. In MSMSE, 2012.
[ bibtex ]

Optimal Tag Sets for Automatic Image Annotation
Sean Moran, Victor Lavrenko. In BMVC, 2011.
[ bibtex ] [ abstract ] [ talk ]

Linking Video Segments to Relevant Wikipedia Content
Victor Lavrenko, Johanna Moore, Sean Moran (2010).

Automatic Image Tagging
Sean Moran (MSc Dissertation, 2009).

Video Inpainting (Overview)
Sean Moran (2009).

Using the Grid for Satellite Imagery with UNOSAT
Sean Moran, Patricia Mendez Lorenzo. Internal UNOSAT-CERN report, 2005

Robust Fusion of Colour Appearance Models for Object Tracking
Chris Town, Sean Moran. In BMVC, 2004.
[ bibtex ]