Available to hire
I’m Tyrel Glass, an AI/ML engineer and Python backend developer based in Te Aroha, New Zealand. I’ve built analytics, modelling, and automation workflows across startups, research labs, and teaching environments, with a focus on turning complex datasets into reliable, production-ready systems.
My work spans predictive modelling, feature engineering, evaluation pipelines, and backend integrations. I enjoy collaborating with customers and researchers to solve practical problems and ship usable analytics that inform decisions and improve real-world outcomes.
Experience Level
Language
English
Fluent
Work Experience
Co-Founder, Chief Science Officer at ProTag
January 1, 2021 - January 1, 2026Co-founded a venture-backed agritech startup developing sensor-based cattle ear-tag technology for pasture-based farming. Built a full behaviour analytics pipeline primarily in Python, with key embedded algorithms ported to C, converting raw sensor streams into cattle behaviours such as grazing, inactivity, and rumination, and extending those outputs into health and reproduction insights. Led analytics development across raw data capture, transformation, feature engineering, model development, validation, and product-facing outputs. Supported integration of reproduction-state models into the product app and used deployment data and customer feedback to refine models and product direction. Established five pilot and trial farms, including a partnership with Lincoln University, and converted a successful pilot into the company’s first sale. Worked directly with customers, trial partners, and technical collaborators to solve practical problems and deliver usable outputs from complex dat
PhD Researcher at Massey University / AUT
March 1, 2026 - March 1, 2026Designed and implemented an end-to-end indoor robot localization and navigation system combining visible light positioning, wheel-encoder odometry, and sensor fusion. Built Python pipelines for signal processing, dataset construction, feature engineering, training, evaluation, and experiment logging. Created large experimental datasets, including a 7,344-point visible light positioning fingerprint dataset and a 13,186-movement robot-navigation dataset with synchronized encoder, VLP, and ground-truth pose data. Achieved 0.0188 m median validation error and 0.0237 m RMSE on 2D positioning, and validated multimodal fusion in live closed-loop robot navigation. Implemented and compared multiple approaches including encoder-only dead reckoning, VLP-only localization, Extended Kalman Filter fusion, and LSTM-based multimodal fusion. Benchmarked embedded deployment on STM32-class targets and co-authored peer-reviewed publications in Sensors and IEEE Transactions on Instrumentation and Measureme
Lecturer / Tutor at Massey University
January 1, 2019 - December 31, 2022Served as designated lecturer for selected course offerings and delivered tutorials, marking, and assessment support across data-focused courses. Taught and supported material spanning scripting, data wrangling, databases, machine learning, visualization, NLP, and data privacy, including 158.739 and 158.755. Helped students apply analytics concepts to practical problems through programming-heavy classes, technical feedback, and block-course delivery.
Project Lead at Massey University / CAIRNet
January 1, 2015 - December 31, 2019Led a city-wide low-cost air-quality sensing network; IoT end-to-end development with Tonkin & Taylor, NIWA, Auckland Council, and Auckland Transport. CAIRNet won the Keysight IoT Innovation Challenge in New York.
Engineer at Encounter Solutions
January 1, 2015 - December 31, 2017Worked on deployment of long-range rural communication networks, mechanical design, and automated firmware test scripting.
Education
PhD at AUT
January 11, 2030 - March 1, 2026Bachelor of Engineering (Hons) in Electronics and Computing at Massey University
January 11, 2030 - March 25, 2026Qualifications
Microsoft Imagine Cup Award - Category Winner
January 1, 2021 - January 1, 2021Keysight IoT Innovation Challenge Winner
January 1, 2019 - January 1, 2019Best Individual Research Project (BE(Hons))
January 11, 2030 - March 25, 2026Full PhD Scholarship
January 11, 2030 - March 25, 2026Industry Experience
Agriculture & Mining, Software & Internet, Education, Professional Services, Manufacturing
Experience Level
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