Cameron Bell
AI Engineer building agentic systems that turn operational complexity into decisive action.
I design multi-agent workflows that coordinate LLMs, tools, and ML production pipelines so teams can move from manual decision-making to reliable automation across research, risk, and execution-heavy environments.
Technical Depth
Skills & Technologies
The stack below reflects how I actually work across projects: orchestrating agents, building applications around models, and shipping systems that need data, infrastructure, and operational clarity.
LLM orchestration
Agent Systems
I build multi-step AI workflows with structured state, tool use, and validation.
Applied AI
ML & Model Work
Hands-on experience across model training, evaluation, experimentation, and adaptation workflows.
Storage and retrieval
Data Foundations
Structured data, analytical stores, and retrieval layers for product and model workflows.
Product delivery
Application Layer
I turn AI systems into usable applications with backend APIs, web interfaces, and internal tools.
Cloud and MLOps
Platform & Delivery
Enough infrastructure depth to ship, version, monitor, and repeat technical work reliably.
Execution tools
Working Toolkit
The tools I use for testing, debugging, experimentation, and day-to-day delivery.
AI systems shipped with product and engineering discipline
Four projects that best show agent orchestration, applied ML, and production-oriented decision making. The full archive lives on the dedicated projects page.
Full archive
Explore all projects, filters, and full write-ups on the dedicated page.
Applied AI case studies across ML, NLP, and computer vision
Selected coursework and applied projects demonstrating classification, regression, evaluation strategy, and modelling trade-offs across business, healthcare, language, and visual domains.
Career Journey
From Business to Tech
A progression from finance, innovation, and leadership into product, data, and engineering. The goal is not to separate these chapters, but to show how each one built toward technical work.
2024
Co-Founder
Tech Venture MVP Bootcamp - FinPlan
This role is the clearest hinge point in the narrative. It combines business framing, financial context, startup storytelling, and applied technical ambition in one place, so the move into engineering no longer feels like a jump. It feels like the next logical step.
Before
Business analysis, process thinking, and stakeholder communication.
Bridge
Product vision, commercial framing, and experimentation with technical tooling.
After
Data science, application development, and technical leadership.
2022
Financial Advisory Intern
Hargreaves Lansdown
Built analytical discipline, improved advisory workflows, and learned how to communicate clearly in high-accountability environments.
2022
Innovation Intern
United Utilities
Standardised process assets and translated ambiguous innovation work into reusable systems and stakeholder-ready outputs.
2023
Hackathon Participant
Lloyds Banking Group x Bright Network
Started turning strategy into product concepts, user-facing flows, and interface ideas grounded in real business problems.
2024
Datathon Participant
EDP - Energy Forecasting
Built and compared time-series models on 118k+ observations, reducing forecasting error by 47% against the baseline.
2025
Instructor & Developer
React Native Bootcamp
Closed the arc by building and teaching, guiding students through app development with production-relevant tools.
Education
Academic Foundation
Academic foundation in computer science, AI/ML, and business technology, complemented by leadership roles and community engagement.
Sep 2024 - Jul 2025
Masters in Computer Science and Business Technology
IE School of Science and Technology
Madrid, Spain
Combined advanced AI/ML engineering with business technology strategy. Gained hands-on experience building scalable ML systems, deploying models to production, and applying computer vision and NLP to real-world problems. Developed full-stack capabilities with modern cloud technologies.
Leadership Roles
- Class Representative
- Community Engagement Representative
- Tech & Innovation Club Events Officer (2025)
Key Modules
Sep 2017 - Jul 2020
Bachelor of Science, Management
University of Bristol
Bristol, United Kingdom
Established foundation in business strategy and management that revealed the transformative potential of technology. This understanding of business needs, market dynamics, and financial analysis informed my transition into AI/ML engineering, enabling development of solutions that bridge technical innovation and business outcomes.
Key Modules
Leadership Roles
- Parent Mentor - EFM Society (Economics, Finance, and Management)
- Member - EFM Society (Played for EFM football team)
Contact
Get In Touch
Have a project in mind or just want to chat about technology? I'd love to hear from you. Let's build something amazing together.