Matthew T.

Key Skills

Software

Other

Top Subject Matter

Sustainable energy engineering

Gas and oil engineering research

Backend development / AI workflow enablement

Top Data Types

Computer Code Programming

Top Task Types

Prompt + Response Writing (SFT)

Question Answering

Freelancer Overview

Certificate of participation, Spinaker International Intensive Programme (Engineering for Sustainable Energy). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Doctor of Philosophy in Engineering and Technology, AGH University of Science and Technology (2023) and Master of Science, University of Salford (2015). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Prompt + Response Writing (SFT), Computer Programming, and Coding.

Labeling Experience

JetBrains Academy: Java Backend Developer

Other

He completed a JetBrains Academy course focused on Java backend development. This training supports development of backend services that commonly power AI data collection, labeling UIs, or evaluation pipelines. The resume does not state direct annotation duties, but the skills are consistent with enabling AI training workflows. • JetBrains Academy: Java backend developer completed March 24, 2023. • Backend development training supporting automation around AI workflows. • Coding practice relevant to integrating services with ML components. • No explicit labeling tasks are described.

2023 - 2023

JetBrains Academy: Java Developer

Other

He completed a JetBrains Academy course for Java developer training. This programming education supports building tooling used in AI training and data operations, such as preprocessing steps and annotation-related backend services. The resume does not explicitly describe labeling work, but the training is relevant to implementing AI infrastructure. • JetBrains Academy: Java developer course completed February 7, 2023. • Programming training in Java that can be used for AI/data pipelines. • Curriculum likely includes coding practice and automated feedback. • No explicit data labeling/annotation is mentioned.

2023 - 2023

JetBrains Academy: Spring Security for Java Backend Developers

Other

He completed multiple JetBrains Academy courses focused on Java development and related backend skills. These courses support AI/data-labeling related training by improving the ability to implement and test code pipelines that often accompany data annotation systems. The resume does not explicitly mention labeling or annotation tasks, but it provides programming training for building and integrating ML/AI workflows. • JetBrains Academy course: Spring Security for Java Backend Developers completed February 24, 2023. • Java backend skill development supporting application and ML workflow integration. • Emphasis on secure backend practices and API/service logic. • No explicit dataset labeling is stated.

2023 - 2023

Certificate of participation, Spinaker International Intensive Programme (Engineering for Sustainable Energy)

OtherPrompt + Response Writing (SFT)

The spinaker international intensive programme trained him on engineering concepts relevant to sustainable energy and likely required using structured problem statements. This includes applying analytical approaches to energy challenges and translating them into computational or algorithmic thinking. While not explicitly stated as labeling, the course work supports AI/data-prep style training through structured responses. • Intensive engineering education from April 4, 2022 to April 12, 2022. • Focus on sustainable energy engineering concepts. • Applied learning likely involving problem solving and structured outputs. • Not explicitly tied to dataset annotation or model labeling.

2022 - 2022

UNESCO/Poland co-sponsored fellowship programme, AGH University of Science and Technology

Other

He completed a UNESCO/Poland co-sponsored fellowship programme in engineering within gas and oil engineering at AGH University. The fellowship indicates AI/data-focused research exposure through engineering optimization and computational work relevant to the domain. The resume does not specify dataset labeling activities, but it demonstrates advanced technical training aligned with AI research workflows. • Fellowship completion date: March 27, 2018. • Programme domain: drilling oil and gas / gas and oil engineering. • Technical research activities in an academic/engineering fellowship setting. • No explicit annotation or labeling tooling is mentioned.

2018 - 2018

Show more

Education

Work History