Biggy O

Results-driven Mechanical Engineer and Data Analyst with 9+ years of combined experience in quantitative analysis, engineering research, and AI evaluation. Proven track record of applying mathematical rigor to complex problem-solving, from process engineering research to large-scale data analysis at Google. Currently contributing to AI model improvement as a freelance AI Trainer, with deep familiarity with large language model outputs and evaluation methodologies.

Seeking to leverage strong mathematical foundations and AI experience to support TELUS Digital's mission of producing accurate, high-quality AI-generated content.

AI Trainer – Engineering & Mathematics at Outlier AI (2022-01 – Present)

• Review and evaluate AI-generated mathematical and engineering solutions for accuracy, logical coherence, and clarity across topics including calculus, algebra, statistics, and applied mechanics.
• Identify reasoning errors, factual inaccuracies, and gaps in AI-generated content, providing structured feedback to improve model performance.
• Develop and apply evaluation rubrics aligned with mathematical standards to ensure consistency across large volumes of content.
• Collaborate with cross-functional teams to refine quality benchmarks and update evaluation guidelines in response to evolving model capabilities.
• Maintain high throughput and accuracy in a deadline-driven remote environment, consistently meeting project KPIs.

Research Assistant – Chemical & Process Engineering at University of Florida (2016-01 – Present)

• Support faculty-led research projects involving quantitative modeling, data collection, and statistical analysis of engineering processes.
• Apply mathematical methods including differential equations, probability, and optimization to analyze experimental datasets.
• Prepare detailed written reports and presentations communicating complex findings to both technical and non-technical audiences.
• Ensure precision and reproducibility in experimental data analysis, maintaining rigorous documentation standards.

Engineering Data Analyst at Google (2017-01 – 2020-12)

• Analyzed large-scale engineering datasets to identify performance trends, anomalies, and optimization opportunities across infrastructure systems.
• Built and maintained data pipelines and dashboards using Python, SQL, and Google BigQuery to support cross-functional engineering teams.
• Translated complex quantitative findings into actionable insights through clear written reports and data visualizations.
• Collaborated with software engineers and product managers to define metrics and evaluation criteria for system performance.
• Ensured accuracy and integrity of analytical outputs in a fast-paced, deadline-driven environment.

Engineering Intern – Mechanical Systems at University of Florida (2015-01 – 2016-12)

• Assisted with mechanical systems testing and analysis as part of the university's engineering department.
• Applied core engineering principles to support laboratory experiments, equipment calibration, and data collection.
• Documented findings and contributed to technical reports summarizing experimental outcomes.

Bachelor of Science in Mechanical Engineering – University of Florida (2015-12)