Led development of advanced ML and NLP models in clinical domain at 𝗙𝗼𝗿𝘁𝘂𝗻𝗲 𝟰 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 ($𝟯𝟬𝟬𝗕+ 𝗮𝗻𝗻𝘂𝗮𝗹 𝗿𝗲𝘃𝗲𝗻𝘂𝗲) Automated decisions and improved judgement accuracy, saving millions annually.𝗞𝗲𝘆 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:- Built complex ML models achieving human-level performance on complex clinical-based decisions.- Managed R&D teams across departments- Delivered demos to top executives, including CEO- Developed patents and mentored within company- Served on model review committee for performance oversight𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲:- Worked with diverse unstructured text (medical records, contracts, notes)- Applied ML/NLP techniques: topic modelling, NER, text classification, visualisation, anomaly detection- Developed techniques for complex medical data processing- Implemented custom solutions for operations teamsSignificantly enhanced efficiency and accuracy in health insurance processing, delivering substantial cost savings and improved service for millions.

In this role I spearheaded innovative NLP and Machine Learning solutions, significantly enhancing business operations: - Developed NLP tools to extract critical information from diverse contract formats, enabling efficient search across thousands of documents - Created novel text-based contract comparison and visualisation methods, facilitating anomaly detection crucial for accurate payments - Collaborated with cross-enterprise teams to identify and address critical issues using Data Science, ML, and NLP techniques - Implemented solutions to automate processes and deliver key insights, improving efficiency across multiple departments These projects streamlined contract management, reduced errors in payment processing, and provided valuable business intelligence, demonstrating the practical impact of AI in solving complex enterprise challenges.

Amdocs is a global leader in software and services for communications and media companies, with $4+ billion annual revenue.Key responsibilities:* Led Data Science and Engineering teams delivering Data Science As A Service (DSAAS) projects for large multi-national companies * Focused on a range of Data Science and machine learning based techniques, including churn prediction, targeted marketing and user behaviour analysis.* Performing large-scale data analysis on Hadoop-based environments (including third party environments).* Extracted business insights from machine learning models to deliver actionable recommendations* Provided research for product development and integrated analytics into products* Directly managed Data Scientists* Mentored junior colleagues* Wrote a number of successful patents for the company* Member of the Amdocs Patent Council

Qualcomm, a Fortune 500 company, is a global leader in developing advanced wireless technologies and mobile processors, powering numerous smartphones and IoT devices worldwide.Key responsibilities & accomplishments:* Led R&D team in ubiquitous computing, focusing on novel machine learning algorithms for real-time user behaviour prediction using contextual mobile phone data* Developed algorithms enabling diverse use-cases, from enhancing user experience to improving battery life* Researched and implemented machine learning techniques for various aspects of user behaviour prediction* Created a complete, efficient machine learning library for mobile devices* Collaborated with international Qualcomm teams to share the ML library and research outcomes* Designed and developed an evaluation framework to measure prediction effectiveness* Mentored colleagues in machine learning, data analysis, and data visualisation

Senior researcher at one of Ireland's largest research centres, leading diverse projects: Financial Data Analysis (with Zignals): - Developed novel ML techniques for sentiment analysis of financial data InSPeCT: Traffic monitoring & security system (with Fairview Analytics): - R&D lead for team of 5 - Deployed computer vision and data management system in an international port - Demonstrated to investors, leading to funding - Won Enterprise Ireland Commercialisation Award 2010 Real-time Web Analysis: - Created NLP & ML approaches to identify user demographics - Performed language classification on Twitter text Key achievements: - Led cutting-edge research projects across multiple domains - Collaborated with startups and established companies - Developed and implemented novel ML and NLP techniques - Successfully deployed real-world AI solutions - Secured funding through effective presentations to investors - Recognised with a prestigious industry award

Research and development team lead within the Centre for Digital Video Processing, a group specialising in the area of multimedia analysis and searchKey project:Samsung Interactive TV: Developed a prototype Interactive TV system for 𝗦𝗮𝗺𝘀𝘂𝗻𝗴 𝗘𝗹𝗲𝗰𝘁𝗿𝗼𝗻𝗶𝗰𝘀, Korea. Personal responsibilities and achievements:• R&D lead for a team of 6.• Designed and implemented an interactive TV device.• Applied computer vision and machine learning technologies to provide a powerful set of features for the TV device.• Managed client negotiations and communications throughout the project.• Demonstrated system to key managers in Samsung Electronics, Korea.

Specialised in pioneering innovative methods for efficient searching of large-scale document collections, with a focus on web-based data.Key Accomplishments:- Developed a cutting-edge, large-scale web search system capable of indexing and efficiently searching vast datasets of web text.- Integrated state-of-the-art techniques, including PageRank, to enhance search capabilities and result relevance.- Designed and implemented the system to serve as a robust backend for multiple high-profile research initiatives within the University, including: - Submissions to large-scale TREC (Text REtrieval Conference) experiments, showcasing the system's performance in competitive information retrieval tasks. - Experiments on video search in TRECVid, demonstrating the system's versatility across different media types.- Utilised the search system as a cornerstone for PhD research, enabling in-depth experiments and analysis in the field of information retrieval.

Member of the Internet and sales systems team. Responsible for: system development; web site development and maintenance; report generation.