Connor Bridgeland-Knowles | Project Engineer / AI & Computer Vision

Professional Summary

Project-focused engineer building AI, computer vision, and sensing systems for real-world environments.

I have over 10 years of experience in information technology, connectivity, and technical delivery, alongside 3 years in engineering environments that include prototyping and advanced manufacturing settings. I am currently embedded within the Advanced Manufacturing Research Centre (AMRC) as Senior IT Technician - Projects, delivering technical work across research, engineering, and IT teams.

My recent work focuses on Python, MicroPython, C, Linux systems, APIs, sensors, and AI-enabled applications. I take a practical engineering approach: capture real-world data, process it through software and AI, analyse the output, and act through dashboards, structured reports, alerts, or decision-support workflows.

Software Development and Integration

Built Python-led prototypes and integrations that connect APIs, sensors, Linux services, dashboards, and automation. Comfortable selecting tools based on project constraints rather than preference.

Computer Vision, AI & Sensing Systems

Developed practical projects that process visual and physical-world inputs, extract useful features, and return structured outputs relevant to inspection, quality, and decision-making.

Artificial Intelligence in Engineering Contexts

Apply AI where it improves interpretation of data, not as a standalone novelty. Evaluate cloud, local, and edge deployment paths for performance, reliability, data control, and practical manufacturing use.

Independent Working, Team Collaboration and Delivery

Manage concurrent technical projects, make day-to-day decisions on complex systems, and work across multidisciplinary teams with engineering, research, IT, and operational stakeholders.

Communication & Stakeholder Engagement

I communicate technical work clearly through written documentation, reporting, and stakeholder discussions. I have experience presenting technical concepts to both technical and non-technical audiences and working with stakeholders across engineering, IT, and operational teams, as well as industrial clients.

Problem Solving, Research and Innovation

Use an experimental, research-driven approach: compare options, evaluate emerging technologies, test against constraints, and refine toward measurable improvements in efficiency, quality, and sustainability.

Engineering Focus

The work I am moving toward is practical applied AI in manufacturing: systems that capture, process, analyse, and act on real-world inputs to support inspection, quality control, operational efficiency, and better technical decisions.

Recent Projects and Practical Experience

Computer Vision and AI Systems

Practical vision systems that process images, return structured outputs, and support inspection-style interpretation.

Concierge AI

concierge-ai.pages.dev ↗

Built a vision-language application that analyses image inputs and returns structured, consistent outputs. Relevant to inspection workflows where visual evidence must be interpreted, summarised, and converted into decision-support data.

Polymer Vision

polymervision.pages.dev ↗

Developed a vision-focused project exploring image analysis, feature extraction, and AI interpretation of visual data. The project demonstrates how inspection-style signals can be processed into useful classification and quality evidence.

Together these projects show the full inspection pattern: capture visual input, process it through software and AI, analyse the result, and act through structured outputs.

Sensing, Data Acquisition and Engineering Systems

Engineering systems that connect hardware inputs, software pipelines, dashboards, and actionable monitoring outputs.

Peak Mission Control

peak-mission-control.pages.dev ↗

Designed a data aggregation and monitoring platform for industrial measurement systems, integrating hardware inputs with cloud processing, visualisation, and operational decision support.

SignalWorks Platform

fed712f9.signalworks.pages.dev ↗

Implemented a sensing and data pipeline concept for capture, processing, and interpretation of real-world signals, with a focus on converting measurements into useful engineering outputs.

These systems demonstrate hardware and software integration across the full pipeline from real-world data capture to actionable insight.

Applied AI and Multimodal Systems

Supporting evidence of applied AI delivery across language, audio, and technical communication workflows.

Translate Garden

translate.garden ↗

Built a language-processing tool that adapts content across contexts and audiences, demonstrating applied AI system design beyond vision workflows.

TechnoBabble

app.technobabble.online ↗

Built an AI-driven system that converts complex technical concepts into accessible language, supporting communication between technical and non-technical stakeholders.

These projects sit behind the vision and sensing work as evidence of broader AI system design, integration, and practical deployment.

Professional Experience

Technical delivery across AI, sensing, infrastructure, and manufacturing research environments.

Current Role

AMRC (University of Sheffield)

May 2025 - PresentPrimary

Senior IT Technician - Projects

Deliver technical projects within the AMRC, working across engineering, research, and IT teams to integrate technology solutions in advanced manufacturing research settings.

Direct experience of AMRC quality management systems, collaborative research culture, and stakeholder engagement with industrial and academic partners.

Holds a higher level of security clearance for work within the AMRC environment than required for this role; immediately available for restricted projects without delay.

Stakeholder Engagement
Project Delivery
Cross-Team Collaboration
IT Infrastructure

Peak to Peak Measurement Solutions

Aug 2025 - Mar 2026Concurrent

Solutions Architect

Designed end-to-end solutions for IoT and embedded measurement systems in industrial settings. Integrated hardware, software, and cloud layers for manufacturing data capture, analysis, and decision support.

IoT Integration
Solution Architecture
Data Pipelines

Aug 2024 - Aug 2025Concurrent

IT Solutions Consultant

Progressed into a broader solutions role, leading internal IT and DevOps initiatives while supporting clients with system integration, platform adoption, and best-practice technical implementations.

SecOps
Artificial Intelligence (AI)
DevOps
Network Administration
Automation

Aug 2023 - Aug 2024Concurrent

Cloud Infrastructure Project Engineer

Built a cloud-based ultrasonic data aggregation platform for industrial measurement. Developed pipelines for sensor data collection, processing, and analysis at the intersection of physical measurement systems and software.

Cloud Infrastructure
Sensor Data
Software Integration

ASK4 Ltd

9 yrs

Sep 2023 - Jun 2025Concurrent

Solutions Engineer

Developed technical solutions to complex infrastructure challenges. Managed own time and resources across multiple concurrent projects.

Dec 2021 - Sep 2023Primary

Head of Support

Led a diverse technical team, managing workload and resources to project timescales. Drove continuous improvement of operational processes and team capabilities.

Excelled in written and verbal communication: technical reports, stakeholder presentations, process documentation.

Jul 2016 - Dec 2021Primary

IT Support Engineer to Support Team Leader to Head of Service Desk

Progressive responsibility across technical problem-solving, team leadership, and project delivery. Developed strong foundations in systematic troubleshooting and engineering rigour.