Summary
Lead Data & AI Engineer with extensive experience in data, machine learning, and AI. I have gained finance and data-related experience across a variety of organizations, including an accounting practice, government bodies, a futures trading firm, a clinical research organization, a car-sharing company, the world's largest building society, and global consulting firms. Interested in Technical Cofounder or Founding Engineer roles.
Experience
Lead Data & AI Engineer
Credera, Remote
April 2024 - Present
- Building GenAI applications for Wealth Management and Pharmaceutical clients
- Led a team of engineers to build a real-time mobile activity system for the UK's largest mortgage lender
- Automating financial advice and client services processes, using GenAI, for a wealth management client
- Accelerating the Sales team by leading the development of AI prototypes
- Delivering internal training on AI and acting as an internal AWS Platform Lead
Tech stack: Terraform, Python, SQL, AWS, GCP, GenAI, Jenkins, Kubernetes, Helm, AWS Bedrock, JavaScript, Spinnaker, MCP, Databricks, ChatGPT Enterprise, Claude Code, LLMs, Pinecone, Microsoft Copilot Studio, Vector Databases, GitLab, OpenAI API, Prompt Engineering
Senior Data Engineer
Credera, Remote
May 2022 - April 2024
- Implementing the Data Mesh architecture within a UK government organization
- Leading a total of 14 engineers on data engineering and MLOps projects
- Building data products: Worked as an individual contributor and team lead on cloud-native data ingestion and MLOps projects
- Built an internal streaming data platform with real-time data from Transport for London
- Coaching and mentoring junior engineers: Mentoring 3 engineers, delivering internal company training sessions focused on data engineering and AI
- Contributing towards the improvement of the engineering hiring process: Conducting data engineering interviews and making improvements to the career and development framework
Tech stack: Terraform, Python, Databricks, Pyspark, SQL, AWS, GCP, Machine Learning, MLOps, Kafka, Hashicorp Vault, GitLab, GitHub, SageMaker
Data Engineering Consultant
Accenture, Remote
March 2021 - April 2022
- Worked on hands-on projects within Capital Markets space
- Working on client projects including: Data Strategy, Data Analytics, Applied Machine Learning, Regulatory compliance, or Data transformation
- Implementing complex solutions ranging from batch to streaming architectures, cloud on-premise implementations, simple cron based batch processes to event-driven and streaming architectures
- Supporting continuous delivery of production applications
- Translating data to insights that enable the business to make decisions as well as using your data visualisations to tell a compelling story with data that makes complex topics understandable
Tech stack: Python, SQL, Machine Learning, GCP, Azure, AWS, Terraform, PowerBI, CI/CD, ETL, Spinnaker
Associate Data Scientist
Nationwide Building Society, Swindon
July 2019 - March 2021
- Providing analytic and data-based solutions to all areas of Nationwide
- Working within the agile framework, and a hub-and-spoke data science model, collaborating with different communities to understanding the difficulties they face to identify improvements
- Developing new analytics use cases for the team to deliver and working collaboratively with both the data engineering teams and business stakeholders
- Building and deploying a mortgage retention machine learning model
- Using NLP analysis to generate actionable insights for company's HR
- Data governance processes automation
- Building and deploying a money laundering/terrorism financing prevention machine learning model
- Building and deploying a customer propensity model
- Nationwide's trading bond portfolio benchmark optimisation
Tech stack: Machine learning, Python, SAS, R, NLP, Deep Learning, Teradata, SQL, Git
Analyst / Data Scientist
Zipcar, Bracknell
September 2018 - July 2019
- Be the location insight expert and use this to optimise location activity
- Liaise with Operations Managers, develop models and automation tools to enhance the efficiency and aid better decision-making of operations teams
- Monitor and forecast major operating expenses of Zipcar, including vehicle depreciation and fuel
- Become the go-to person for insights of vehicle usage, including member behaviour, vehicle performances and location optimisation
- Provide geospatial analysis to optimise operations and marketing activities
- Analyse the profitability of new projects and business deals
- Ensure all business reporting is up to date and documented
- Improving, building and deploying ETL algorithms in production
Tech stack: Python, SQL, Excel, Shell, Data Analysis, AWS, Spotfire, Periscope, Looker, Machine Learning
Grants Specialist (Promoted to Budget Coordinator)
PRA Health Sciences, Greater Reading Area
May 2017 - September 2018
- Grants Specialist: Responsible for the management of the end-to-end investigator and site payment process
- Creating and managing CTMS visit templates, suppliers and purchase orders
- Managing payment processing and clinical trial payments
- Tracking and follow-up on status of both country-specific and site-specific financial exhibits
- Budget Coordinator: Establishing Investigator budgets in the clinical trial management system
- Supporting the Payment Specialists to ensure accurate and timely payments are made to investigative sites
- Acting as a key liaison between the Investigator Grants team and Project Team
- Responsible for obtaining payment forms and ensuring vendor ID numbers are established from the Accounts Payable department
Academic Support Worker & Student Union Representative
Oxford Brookes University, Greater Oxford Area
September 2012 - May 2017
- Academic Support Worker (Sept 2015 - May 2017): Providing disabled students with academic support in fields of economics, finance and business
- Student Union Representative (Sept 2012 - May 2017): Department of Economics, Accounting and Finance representative
- Working closely with the Union and its Officers and responsible for the direction of the Union
- Raising important issues with the University on students' behalf
Accounting Technician & Assistant Accountant
Hampshire County Council & Oxfordshire County Council
September 2014 - September 2016 (Various Internships)
- Assistant Accountant (Sept 2014 - July 2015): Creating, processing and control of financial documents using Excel, SAP R3 and SAP BPC
- Recording and processing loans, deposits or withdrawals made by the OCC. Acting as a first line contact with banks and brokers
- Controlling and processing budget forecasting reports
- Managing the requests dealt by the Finance Service Desk team through Dynamics system
- Banking reconciliation and managing the accounts
- Summer Internships: Supporting senior accountants, raising invoices, creating journals, performing reconciliations
- Providing remote support to budget managers based in Oxfordshire
- Assisting with budget preparation and monitoring accounts
Skills
Technical Team Leadership
Managed multiple teams of up to 14 engineers. Mentoring and coaching junior staff.
AI
Machine Learning, Deep Learning, Generative AI, LLMs, Prompt Engineering, Agentic AI, Multi-agent Systems.
Data Engineering
ETL, Big Data, Real-time Data, Pyspark, Kafka, CI/CD, distributed computing, DevOps, Docker, Kubernetes, SQL and NoSQL.
Cloud
AWS, GCP, Azure, Infrastructure as Code (Terraform).
Programming
Python, Terraform, SQL, Go, Bash, JavaScript, SAS, Dart, R.
Data Visualization
Looker, Spotfire, PowerBI, QuickSight, Data Studio, Tableau, Periscope.
Qualifications
Education
BSc (Hons) Economics, Finance and International Business with Industrial Placement
Oxford Brookes University
2016