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Telus
Text
Audio
Text Generation
RLHF
Evaluation/Rating
Prompt + Response Writing (SFT)
TranscriptionMSc chemist with active roles across seven AI evaluation platforms, specializing in chemistry content quality assessment, RLHF, and domain-specific prompt engineering. Experienced in AI-generated responses for accuracy in reaction mechanisms, thermodynamics, stereochemistry, and analytical reasoning across multiple subfields. Currently contributing to AI training pipelines at TELUS Digital, Turing, Welocalize, Invisible Technologies, Innodata, and RWS Group, with a track record of identifying conceptual errors in AI chemistry outputs and improving model reasoning through structured feedback and rubric-based evaluation.
TextEvaluation/RatingLed quality assurance operations for AI-generated content annotation projects, overseeing accuracy and consistency of labeled datasets across multiple task types. Reviewed annotator outputs for compliance with task specifications, identified systematic errors, and provided corrective feedback to maintain data quality standards across high-volume workflows.
TextText GenerationDesigned and evaluated STEM-focused AI training content spanning chemistry, physics, and materials science. Assessed model responses for conceptual accuracy across organic chemistry, thermodynamics, stoichiometry, and reaction mechanisms. Identified reasoning gaps in AI outputs and provided structured expert feedback to improve scientific correctness and instructional clarity across multiple difficulty levels.
TextPrompt + Response Writing (SFT)Engineered chemistry-specific prompts designed to elicit rigorous scientific reasoning from large language models. Wrote and refined prompts targeting reaction mechanism evaluation, thermodynamic reasoning, stereochemical analysis, and retrosynthetic planning. Assessed model responses for depth of chemical reasoning beyond-surface level answer correctness.
TextRLHFConducted rubric-based evaluation and preference selection for Gemini model outputs as part of Google's personalization pipeline. Ranked AI generated responses by quality, coherence, and factual correctness. Applied structured comparative judgment to identify superior responses across chemistry, STEM, and general-domain prompts.
TextEvaluation/RatingPerformed expert-level scoring and quality assurance for AI-generated chemistry content across organic, inorganic, analytical, and physical chemistry subfields. Constructed and refined evaluation rubrics for assessing model reasoning quality. Identified conceptual gaps, mechanistic errors, and thermodynamic inaccuracies in AI outputs across varying difficulty levels.
Master of Science, Chemistry
Bachelor of Science, Chemistry
AI Quality Analyst
Chemistry Evaluation Specialist
