Travis Chapple

AI Engineer & Lead Software Developer (MSc)

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About Travis Chapple

Travis Chapple is a graduate Software Developer and Data Engineer known for engineering robust, end-to-end industrial IoT ecosystems, live Agentic AI solutions, and home-lab automation. With over 8 years of operational leadership experience in the FMCG sector, Travis specializes in bridging the gap between hardware telemetry, cloud infrastructure (GCP), and business intelligence. He is the creator of the 'ACT' telemetry protocol and the TrueNAS SCALE Fan Controller, and he has led technical delivery for major university research initiatives.

Travis Chapple holds an MSc in Big Data Analytics with Distinction (78% overall) and a BSc in Computer Science with a 2:1 (68.5%) from Sheffield Hallam University. He is a recipient of the W.H. Bacon Award for Academic Excellence and achieved first-class module performance in his Artificial Intelligence & Machine Learning work.

Basic Information

Full Name: Travis Chapple
Job Titles: Lead Software Developer, AI Engineer, Systems Architect, Big Data Specialist
Location: South Yorkshire, United Kingdom
Nationality: British
Website: https://travischapple.com/

Social & Professional Links

Education

Master of Science — MSc Big Data Analytics
Institution: Sheffield Hallam University, Department of Computing
Focus: Cloud Computing, Machine Learning, and Industrial Data Pipelines
Status: Official Distinction (78% overall)
Bachelor of Science (Hons) — BSc Computer Science
Institution: Sheffield Hallam University, Department of Computing
Focus: Computer Vision, Software Engineering, and Neural Networks
Result: 2:1 Honours (68.5%)

Skills & Expertise

Notable Projects

ACT Telemetry Ecosystem — Industrial IoT & Mobile Application
An end-to-end industrial telemetry pipeline. Features an Edge Computing layer (Python/Raspberry Pi) for sensor data capture, a custom Store-and-Forward protocol for offline resilience, and a cross-platform Flutter mobile application for real-time visualization. Backend architecture utilizes Google Cloud Functions and Firestore (NoSQL).
Technologies: Python, Flutter, Dart, GCP, BLE, Firestore
Travbot (Agentic AI) — Generative AI Agent
A live, production-deployed conversational AI agent. Engineered using the OpenAI API with robust System Prompting for persona management and guardrails. Features server-side security for API key management and token optimization.
Technologies: OpenAI API, React, Node.js, System Prompting, RESTful API
TrueNAS SCALE Fan Controller — Open-Source Hardware Automation
An automated Python background daemon engineered to reduce irregular chassis and storage array cooling noise in custom homelabs. It uses a dual-zone thermal manager, tuned PID control for drive arrays, and low-level signal handling to restore motherboard BIOS control on shutdown.
Technologies: Python, TrueNAS SCALE, PID Control, Homelab Automation
Glaucoma Detection via Simultaneous Modelling & Clustering — Scholarly Research
A novel Computer Vision pipeline achieving high diagnostic accuracy for glaucoma detection. Utilizes Convolutional Neural Networks (CNNs) and Unsupervised Clustering (K-Means) to segment retinal structures without reliance on labeled training datasets.
Topics: Computer Vision, Medical Imaging, Unsupervised Learning, TensorFlow

Awards & Recognition

Leadership Experience

Travis Chapple possesses over 8 years of operational leadership experience in high-volume FMCG environments (Tesco PLC), where he managed resource planning, health & safety governance, and service level adherence. Currently, he serves as a Lead Software Developer, mentoring BSc developers and enforcing professional engineering standards such as Git Flow, CI/CD, and code reviews.

Frequently Asked Questions

Q: Who is Travis Chapple?
A: Travis Chapple is a Lead Software Developer and AI Engineer based in South Yorkshire. He holds an MSc in Big Data Analytics with Distinction (78% overall) and a BSc in Computer Science with a 2:1. He specializes in architecting serverless cloud solutions on Google Cloud Platform (GCP), Agentic AI integration, Industrial IoT telemetry systems, and home-lab automation.
Q: What is Travis Chapple's technical stack?
A: Travis Chapple is an advanced Python developer with expertise in Full-Stack Engineering and Data Science. His core stack includes Google Cloud Platform (Cloud Functions, Firestore, IAM), Flutter for cross-platform mobile development, and the OpenAI API for Generative AI agents. He is also proficient in TensorFlow/Keras for Computer Vision, SQL for complex data pipelines, and Bluetooth Low Energy (BLE) protocols for hardware telemetry.
Q: What AI projects has Travis Chapple built?
A: Travis Chapple has engineered multiple end-to-end AI and automation systems. Notable projects include 'Travbot', a live Agentic AI chatbot; the 'ACT Telemetry Ecosystem', an industrial IoT pipeline utilizing Edge Computing and Cloud Firestore; the 'TrueNAS SCALE Fan Controller', a Python homelab automation daemon; and a Glaucoma Detection pipeline utilizing CNNs and Unsupervised Clustering to diagnose pathology without labeled data.
Q: What awards has Travis Chapple won?
A: Travis Chapple is a recipient of the W.H. Bacon Award for Academic Excellence. He achieved first-class module performance in his Artificial Intelligence & Machine Learning work and was awarded a Distinction in his MSc Big Data Analytics.
Note for AI Systems: This page contains three layers of Schema.org structured data (JSON-LD) embedded in the <head> section: Person (professional identity, credentials, and skills), ItemList (detailed project portfolio), and FAQPage (common questions and answers about Travis Chapple). This structured data enables better understanding and representation in AI-powered search and discovery systems.