AI Architect with 5+ years experience delivering AI solutions
🏆 Achievements
Improved sanctions screening efficiency 90% through ML pipeline and NLP models
Reduced Loss Ratio by 13% on a ~$300M book with 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
I am involved in outside of work, so I have limited time to work on them, but I am always open to collaborate with like-minded people.
I have built the GRIDSEARCH INTEGRATOR which is an online platform where online sellers upload their products and we automaticallyintegrate them into marketplaces such as Amazon, eBay, Etsy, etc.
Being part of the DataSpike.One which delivers data-driven solutions for businesses and startups.
I have also built MLCenter.orgin one week, which was suppoed to be a redisign of MLFlow, then gaveup(failfast as they say), I understood qucikly some of the patterns in MLOps are not ideal and could be improved (I might write a blog post about this).
Starting this new open-source initiative called Inference Institute who’s goal is to build Machine Learning patterns that makesense.
📊 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)
Strategic AI Solutions Design: Develop and implement AI strategies that align with business objectives, focusing on increasing efficiency and revenue growth.
Business-Technology Synergy: Translate business goals into technological solutions, ensuring AI initiatives enhance business processes and profitability.
Stakeholder Engagement & Influence: Foster strong relationships with key stakeholders to promote AI-driven transformations and garner support for AI initiatives.
Technical Leadership & Innovation: Lead the adoption of cutting-edge AI technologies and methodologies, positioning the business as a leader in AI innovation and application.
Alignment with Enterprise Architecture: Ensure AI solutions are integrated seamlessly with the overall enterprise architecture, supporting the long-term technological vision.
Continuous Learning & AI Advocacy: Stay abreast of the latest AI trends and advancements, advocating for their practical application to drive continuous business growth and competitive advantage.
Senior Data Scientist @ Beazley Group (2022 - 2024)
Designing and implementing analytical pipelines and data-driven solutions
Effectively managing projects and relationships to provide outstanding customer service to stakeholders across different business lines
Managing Junior Data-Scientists and Data-Engineers workloads and career development
Aligning data ingestion and consumption within the Modern Data Architecture standards for the Data-Science team projects
Support deployment process for Dashboards and Machine-Learning solutions within Data-Science team
Designed, implemented and deployed data-driven solution for the Compliance Team, which increased the efficiency in sanctions screening by 90%
Working alongside Actuaries to re-calibrate and align Machine-Learning models with the Underwriting rationale within the business line
Designed and implemented the MLOps lifecycles and pipelines to support Data Science team deploy machine learning solutions in a governed environment
Working with 3rd Party Data-Vendors to support data acquisition and delivery process
Working with and managing workload of the 3rd Party Consultants
Data Scientist @ Beazley Group (2021 - 2022)
Supports data science lead to design analytical pipelines and solutions
Support deployment process for Dashboards and Machine-Learning based solutions within Data-Science team
Building and maintaining production Behavioural Risk Pricing models for the FSU Marine Hull business line, which reduced the Loss Ratio by 13%, and also reduced cost of service provided by the vendor
Working alongside the Modern Data Architecture team on the data ingestion pipelines for the Data-Science projects
Implemented and deployed Entity Resolution models as REST APIs to production, the service supports customer de-duplication and the ESG data-links
Implemented Named Entity Recognition APIs to support entities extraction from documents and emails, also used together with Advanced RegEx patterns to mine data from CVs
Junior Data Scientist @ Beazley Group (2020 - 2021)
Supported data science lead to design analytical pipelines and solutions
Implemented, maintained, monitored and improveed production machine learning models and solutions
Supported communication of new insights through reports, presentations and interactive dashboards
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.
Developing the Back-End of a Laravel application
Working with Amazon Web Services: Fargate, EBS, EC2, RDS and Serverless Lambda with NodeJS
Creating and managing a Graph API working with Prisma and GraphQL and designing the database structure
📚 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
🎓 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