AI & Autonomous Systems Engineer specialising in scalable backend architecture, MLOps infrastructure, and applied machine learning systems. Experienced in designing secure, production-grade platforms across HealthTech, CivicTech, robotics, and scientific computing domains. Proven track record of translating complex domain challenges into validated technical solutions through cloud-native deployment, model versioning, automation pipelines, and robust data architectures. Strong background in Python, Go, PostgreSQL, and modern web frameworks, with hands-on experience delivering end-to-end systems in multi-stakeholder and publicly funded innovation environments.
Delivered applied AI, data, and automation solutions across HealthTech, CivicTech, Robotics, and Materials Science programmes within publicly funded innovation initiatives
Architected secure, production-ready systems spanning full-stack platforms, MLOps infrastructure, and cloud-native deployments
Designed and implemented relational data models, APIs, and role-based access control (RBAC) frameworks to support multi-stakeholder environments
Established automated CI/CD pipelines, containerised deployments, and model versioning systems to enable reproducible and scalable software delivery
Collaborated directly with entrepreneurs, researchers, public sector partners, and SMEs to translate domain problems into validated technical architectures
Mentored engineers and innovation teams in software engineering best practices, system design, and scalable architecture
Delivered technical workshops and live demonstrations to SMEs, academic audiences, and public sector stakeholders, including showcasing humanoid robotics capabilities, state-of-the-art computer vision systems, and human interaction models at an Emerging Markets workshop
Contributed to regional innovation programmes supporting NHS transformation, social care modernisation, open data infrastructure, and advanced materials research
Operated at the intersection of AI engineering, backend systems architecture, and autonomous systems deployment in real-world environments
Oct 2021 – Nov 2025
PhD Researcher in Artificial Intelligence and Endovascular Navigation
University of Liverpool
Pioneered AI-driven autonomous endovascular navigation research, focusing on reinforcement learning (RL) and deep learning (DL) methods for guidewire control in complex vascular environments, with a focus on real-world clinical translation.
Designed and developed [CathSim](https://airvlab.github.io/cathsim/), an open-source object-oriented Python library for reinforcement learning-based endovascular guidewire navigation. Integrated high-fidelity aortic arch models, continuous guidewire shape representations, and simulated imaging for sim-to-real transfer. Deployed scalable RL training pipelines on HPC environments using Docker containerization.
Invented and implemented Splineformer, a novel transformer-based deep learning model using B-spline shape representations to predict guidewire trajectories. Achieved 50% success rate in autonomous cannulation of the Brachiocephalic Artery (BCA).
Created and publicly released [Guide3D](https://airvlab.github.io/guide3d/), the first large-scale, annotated dataset of biplanar X-ray sequences for endovascular navigation. Leveraged CVAT for precise annotations and structured data for PyTorch pipelines, enabling research in tool tracking, domain adaptation, and AI-based medical imaging.
Advanced autonomous navigation algorithms by developing and optimizing multi-modal reinforcement learning (MMRL) approaches that fuse shape-based and image-based modalities, significantly improving performance in anatomically complex scenarios.
Presented original research at international conferences, effectively communicating novel AI methodologies for endovascular robotics to multidisciplinary audiences, including AI researchers, clinicians, and engineers.
Mentored MSc and undergraduate students, fostering technical development and cross-disciplinary innovation in AI for healthcare, resulting in increased research output and collaborative publications.
Sept 2024 – Present
Web Developer
University of Liverpool
Contributed to the design and development of a full-stack web application, utilizing modern frameworks and tools to create a functional and user-friendly solution.
Designed and optimized backend functionalities utilizing MongoDB and Mongoose ORM, focusing on robust schema design and efficient query optimization to ensure scalable and performant NoSQL data management.
Engineered responsive, accessible, and intuitive UI components using React, adhering to modern front-end best practices and state management techniques. Collaboratively enhanced user experiences through consistent interface design and functionality.
Leveraged Next.js for Server-Side Rendering (SSR) and Static Site Generation (SSG), significantly improving application performance through features like automatic code splitting and Incremental Static Regeneration (ISR).
Implemented comprehensive unit and integration testing using Jest. Integrated continuous integration and continuous deployment (CI/CD) pipelines and debugging tools to ensure high standards of application reliability, maintainability, and quality assurance.
Oct 2021 – Present
Teaching Assistant
University of Liverpool
Computer Vision (COMP338): Provided instructional support for coursework in image processing, feature extraction, and machine learning techniques, facilitating student understanding and practical application in computer vision.
Robotic Perception and Manipulation (COMP341): Guided students through concepts in robotic control algorithms, perception systems, and manipulation tasks, promoting hands-on experience and effective problem-solving skills in robotics.
Jan 2023 – Apr 2023
Technical Lead
Digital Theme UK-Ukraine Twinning Initiative
Designed and implemented technical solutions ensuring a seamless and robust virtual conference experience.
Coordinated closely with academic institutions in the UK and Ukraine, fostering international knowledge exchange and technical cooperation.
A regional open data platform enabling secure dataset sharing across the Liverpool City Region to strengthen academic collaboration, cross-sector research, and public sector transparency.
Contributed to the deployment and customisation of a CKAN-based regional data platform supporting 17 organisations
Designed and implemented a production data visualisation plugin, enabling interactive exploration of 45 datasets and 2,737 resources
Deployed and configured a production-grade Python environment to support custom extensions and scalable data workflows
Supported automated data ingestion and update pipelines, improving data freshness and reducing manual processing
Helped operationalise a shared regional data infrastructure used by local authorities and national government bodies
An AI-driven SaaS business intelligence platform providing SMEs with 24/7 actionable insights, performance management and decision support by integrating accounting data from systems like Xero and QuickBooks. The platform helps small business owners and advisors improve cash flow, productivity and profitability. :contentReference[oaicite:1]{index=1}
Conducted a security assessment of the existing platform, identified vulnerabilities, and implemented fixes to fortify application and data security
Strengthened production reliability and infrastructure through platform deployment and operational hardening
Architected and established the foundation for a second major platform version, setting up scalable backend services and frameworks
Implemented secure data workflows connecting Xero with the internal PostgreSQL database, enabling synchronized financial data processing
Built and integrated authentication and role-based access control (RBAC) using Supabase to support multi-tenant access patterns
Developed transactional email workflows within a Next.js frontend, and deployed the stack via Vercel and Supabase
CHI-Zone, Civic Health Innovation Labs, University of Liverpool
A community-focused digital platform developed under the CHI-Zone programme, funded by the Liverpool City Region Life Sciences Innovation Zone and anchored by the University of Liverpool’s Civic Health Innovation Labs (CHIL). The system modernises Shared Lives social care workflows, automating carer matching and case management to improve placement efficiency and support person-centred community care.
Architected and delivered a full-stack HealthTech platform using Next.js and PostgreSQL to digitise and streamline adult social care workflows
Translated person-centred care processes into a scalable relational data model through structured stakeholder discovery and domain analysis
Designed a normalised PostgreSQL schema with indexed search optimisation, enforced referential integrity, and controlled schema migrations
Integrated secure cloud infrastructure using Amazon RDS and AWS S3 to support compliant storage of care documentation and structured case data
Designed and implemented a RESTful API layer enabling structured carer-to-individual matching logic
Implemented authentication, role-based access control (RBAC), and custom permission layers aligned with safeguarding and multi-stakeholder governance requirements
Established automated unit testing using Vitest with in-memory PGlite database mocking to ensure deterministic and maintainable releases
Developed database seeding strategies and environment configuration to support CI/CD and reproducible deployments
Contributed to service blueprinting and rapid prototyping to reduce administrative burden, enabling leaner processes and faster access to carers for individuals in need
HealthTechSocial Care TechnologyCommunity Care SystemsNext.jsPostgreSQLDatabase ArchitectureAmazon RDSAWS S3REST API DesignRBACCloud InfrastructureCI/CDTest-Driven DevelopmentStakeholder EngagementService Design
Citizen First – MySleepHealth (CHI-Zone)
CHI-Zone, Civic Health Innovation Labs, University of Liverpool
A venture supported under the Citizen First programme, empowering lived-experience entrepreneurs in the Liverpool City Region to build health-focused businesses. MySleepHealth addresses sleep-related health challenges through a digital platform designed to improve user wellbeing and access to structured support.
Designed and implemented the backend infrastructure for a Flutter and Supabase-based HealthTech application
Worked directly with the founder through iterative requirement discovery to translate lived-experience insights into scalable technical architecture
Developed secure data models and backend services within Supabase, enabling structured user data handling and application logic
Implemented authentication and access control to support secure, multi-user health data interactions
Supported rapid MVP development to accelerate validation, enabling the entrepreneur to focus on product-market fit and community impact
Contributed technical expertise within a publicly funded innovation programme aimed at empowering hidden entrepreneurs to solve real health and care challenges
CHI-Zone, Civic Health Innovation Labs, University of Liverpool
A HealthTech venture supported under the Citizen First programme focused on improving infection control and sanitation validation in NHS hospital environments through robotics and automation. The solution combines a mobile robotic base with a continuum manipulator to inspect and validate hygiene compliance in complex clinical settings.
Provided technical advisory support to validate the feasibility of a robotic sanitation verification system for NHS hospital environments
Supported early-stage technical architecture and systems thinking for integrating a continuum robot with a mobile robotic platform
Advised on validation workflows aligned with hospital infection prevention and control standards
Contributed to technical risk assessment and feasibility evaluation to support product validation and funding readiness
Worked closely with the entrepreneur to translate a clinical problem into a scalable HealthTech robotics solution
Supported a community-driven innovation initiative aimed at improving operational efficiency and safety within NHS settings
Healthcare RoboticsContinuum RoboticsMedical Device InnovationNHS InnovationHealthTech ValidationTechnical FeasibilitySystems ArchitectureInfection Control TechnologyRobotics in HealthcareInnovation Advisory
An internal MLOps platform developed within the Liverpool Materials Discovery Studio (LMDS) to automate versioned deployment of machine learning models for functional materials research. The system enables non-technical users to execute validated models through a secure interface, bridging advanced computational research with accessible tooling.
Architected and implemented an end-to-end automated model deployment system enabling version-controlled ML model releases via GitHub tag workflows
Built a Go-based API layer orchestrating deployment pipelines, container lifecycle management, and runtime monitoring
Configured action runners to automate packaging of Python (scikit-learn) models into Docker images and publish them to a locally hosted container registry
Implemented structured model versioning and artifact registration within PostgreSQL to support reproducibility, validation, and parallel model coexistence
Designed a repository template using uv to standardise model contracts, enforce parameter schemas, and enable frontend auto-generation of input forms
Established secure authentication and role-based access control (RBAC) to manage model publishing, validation, and execution permissions
Implemented TCP log streaming from running Docker containers via the Go API to provide real-time execution feedback to the frontend
Delivered infrastructure enabling non-technical researchers to run complex ML workflows without direct coding interaction
An internal access management platform developed to replace unreliable paper-based building entry and exit logs. The system improves auditability, security, and operational efficiency by digitising visitor registration, staff access, and group bookings in a continuously running production environment.
Replaced manual paper logbooks that were prone to incomplete records, poor traceability, and compliance risks with a centralised digital registry system
Designed and implemented a cross-platform desktop application using Electron and Svelte with PostgreSQL-backed persistent logging
Integrated RFID-based authentication to eliminate manual staff sign-in, reducing entry friction while improving access control accuracy
Implemented group booking and bulk check-in/out workflows to address bottlenecks during events and training sessions
Enabled real-time occupancy visibility and structured access logs to support safety, compliance, and incident traceability
Deployed and maintained the system on a Debian production environment, running 24/7 for nearly a year with minimal downtime
Access Control SystemsOperational DigitisationElectronSveltePostgreSQLRFID IntegrationLinux DeploymentInfrastructure AutomationCompliance TrackingReal-Time Logging Systems
VEC Holiday & Leave Management System
Virtual Engineering Centre (VEC)
An internal leave management platform developed to replace unreliable and manually calculated holiday tracking processes. The system ensures accurate entitlement calculation, structured approval workflows, and full auditability, reducing administrative risk and payroll discrepancies.
Replaced inconsistent manual leave tracking with a centralised, rules-driven holiday management system
Designed and implemented the full-stack application using SvelteKit and PostgreSQL with a robust relational schema modelling annual leave, sick leave, public holidays, and institution-specific custom holidays
Engineered accrual and pro-rata calculation logic to support different contract types, entitlement rules, and carry-over policies
Implemented approval workflows with designated approvers and structured decision tracking to ensure governance and transparency
Developed integrated team-based holiday calendars to provide organisational visibility and reduce scheduling conflicts
Built custom authentication with invitation-based onboarding and two-factor authentication (2FA) to secure sensitive HR data
Established automated balance recalculation and audit logging to ensure reliable, traceable leave history
Delivered a reliable operational system improving compliance, transparency, and administrative efficiency across the organisation
Led the "Deep Learning Workshop" for Year 12 students in the Biograd Residential Program, introducing key concepts in neural networks and artificial intelligence.
Sept 2020 – Sept 2021
President of Data Science and Artificial Intelligence (DSAI) Society
University of Liverpool
Established the society from the ground up, setting strategic goals to foster student engagement in Data Science and AI.
Organized networking events and hands-on workshops, connecting students with industry professionals and providing practical training.
Interests
Technology
Linux (Arch Linux, Debian-based systems)Self-hosting solutions (Nextcloud)Tiling window managers (qtile)Terminal-based tools (e.g., neovim, tmux, zsh/bash)Scripting and automation (Bash, Python)Open-source contributions and toolsQMK (split keyboard customization)