Seasoned AI and Data Science leader with a proven record of delivering transformative, high-impact solutions that drive operational efficiency and revenue growth. Equally adept at hands-on technical delivery—architecting robust AI platforms, designing and implementing advanced AI/ML systems—and at strategic leadership, shaping enterprise AI vision, roadmaps, and governance. Skilled in translating business objectives into scalable technological solutions, fostering cross-functional collaboration, mentoring AI practitioners, and securing executive alignment to accelerate AI adoption and innovation.
🏆 Achievements
Architected a state-of-the-art cloud-based AI Platform, revolutionising the development and deployment of Generative AI capabilities in a cloud environment for Beazley.
Improved sanctions screening efficiency 90% through ML pipeline and NLP models
Reduced Loss Ratio by 13% using Behavioral Risk Pricing models
Led team of junior data scientists and engineers
Architect Machine Learning solutions for the Data Science team
Supported Data Science team to deploy ML models in production
Built relationships with stakeholders across the business to deliver outstanding solutions
Implemented MLOps pipelines and processes for governed model deployment
🚀 Projects & Startups
Starting this new company initiative called Inference Institute which is a research and development company focused on AI and Machine Learning.
📊 Skills Profile
Code
# Import necessary librariesimport pandas as pdimport numpy as npimport matplotlib.pyplot as pltimport seaborn as sns# Define your scoresbusiness_score=4statistics_score=3mathematics_score=2ml_score=4dev_score=5devops_score=4management_score=3# Create a DataFrame with your skill scoresskills_data = {'Skill': ['Business', 'Statistics', 'Mathematics', 'Machine Learning', 'Software Development', 'DevOps', 'Management' ],'Score': [ business_score, statistics_score, mathematics_score, ml_score, dev_score, devops_score, management_score ]}df = pd.DataFrame(skills_data)# Define the number of skills and angles for the radar chartnum_skills =len(df)angles = np.linspace(0, 2* np.pi, num_skills, endpoint=False).tolist()# Plot radar chartplt.figure(figsize=(5, 5))ax = plt.subplot(111, polar=True)# Fill the radar chart with dataax.fill(angles, df['Score'], color='#16657A', alpha=0.7)# Add labels for each skillax.set_xticks(angles)ax.set_xticklabels(df['Skill'], size=10, fontweight='bold')ax.set_yticklabels([])# Display the radar chartplt.show()
💼 Experience
AI Architect @ Beazley Group (2024 - Present)
Designed and implemented a tailored Cloud AI Platform enabling Data Scientists to develop and deploy both traditional and generative AI/ML models, incorporating robust governance, monitoring, and lifecycle tracking while ensuring seamless integration with enterprise systems.
Mentor and guide AI practitioners, providing technical leadership, architectural oversight, and best-practice frameworks to accelerate capability development across the organisation.
Conceive and drive strategic AI initiatives that have secured executive endorsement, directly supporting Beazley’s modernisation and revenue-growth objectives.
Translate business objectives into scalable AI architectures, ensuring initiatives measurably enhance efficiency, decision-making, and profitability.
Lead the evolution of enterprise AI architecture to meet the continuous demand for AI-driven solutions, expanding infrastructure, toolsets, and governance models.
Federate platform capabilities to enable AI practitioners across business units to independently build, deploy, and manage AI solutions while maintaining compliance and operational excellence.
Champion adoption of emerging AI technologies and methodologies, positioning the business as an innovator in applied AI.
Cultivate strong stakeholder relationships, promoting AI-driven transformation and aligning technical strategies with organisational priorities.
Senior Data Scientist @ Beazley Group (2022 - 2024)
Designed and implemented analytical pipelines, MLOps lifecycles, and governed deployment processes for dashboards and ML solutions.
Led and mentored Data Scientists, Data Engineers, and third-party consultants, managing workloads, career development, and project delivery.
Delivered a sanctions screening solution for the Compliance team, improving efficiency by 90%.
Collaborated with Actuaries to recalibrate ML models in line with underwriting rationale.
Managed data acquisition and delivery with third-party vendors.
Built strong stakeholder relationships across business lines to ensure high-quality, impactful data-driven solutions.
Data Scientist @ Beazley Group (2021 - 2022)
Developed and deployed advanced analytical pipelines, ML models, and APIs—including Behavioural Risk Pricing, Entity Resolution, and Named Entity Recognition—delivering measurable business impact, such as a 13% Loss Ratio reduction and lower vendor costs.
Junior Data Scientist @ Beazley Group (2020 - 2021)
Designed and deployed analytical pipelines, production ML solutions, and interactive dashboards, delivering actionable insights through robust data analysis and visualisation.
Working alongside Senior Developers I worked in a high pressure, fast-paced environment as we attempted to rebuild the back-end systems for a startup before launch.
📚 Trainings & Certifications
DP-100: Designing and Implementing a Data Science Solution on Azure – Global Knowledge (Microsoft Certified Training)
Fundamentals of Data Science – Lloyds of London & University of Southampton
TOGAF® Enterprise Architecture — Foundation and Practitioner - Certified
🎓 Education
MSc Computer Science - University of Lincoln (2018 - 2019)
Research Project
Introducing an efficient way to solve the task of Image Captioning where a machine is generating human-like descriptions for the given image and taking account of the relationship between the elements inside of the image.
Machine Learning
Learned theoretical fundamentals and practical application of machine learning algorithms. This included: supervised, unsupervised, reinforcement and evolutionary learning, proving the learned skills by solving tasks such as recognising handwritten digits and Machine Translation.
Mobile and Connected Devices
Studied cutting-edge computing concepts and in-the-field deployment of emerging Internet of Things (IoT) platforms and devices. The final project was based on creating a Smart Attendance System using technologies such as Raspberry Pi and NFC sensors, and Xamarin to develop a mobile application with a REST API to control the whole infrastructure.
BSc Computer Science (First Class) - University of Alba Iulia (2015 - 2018)
Research Project
Introducing a Stock Market Forecasting Platform where company stock data can be analysed and compared, also having a short period prediction of their stock prices.
Artificial Intelligence
Understanding the theoretical fundamentals and practical applications of decision-making, problem-solving and learning abilities in software agents.
Machine Learning and Pattern Recognition
Learning the basic fundamentals and practical application of machine learning algorithms and pattern recognition.
👨💻 About Me
Enjoy gaming, fitness, travelling and meeting new people. Former professional swimmer, powerlifter and martial artist. Passionate about graph theory and NLP
