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ClassificationPrompt Engineer & AI Data Reviewer. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Computer Science, AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.
Full-stack engineer who builds informational websites and interactive web applications, while managing the entire deployment lifecycle to ensure every updates is seamless, secure and high-performing.
At Cohere, I design and evaluate AI prompts specialized for health, medical, and biology-related domains. My responsibilities include reviewing AI-generated scientific explanations and systematically identifying factual inaccuracies, biases, and reasoning gaps. I collaborate with interdisciplinary teams to strengthen quality assurance for AI outputs. • Develop and assess prompts for medical and biology contexts • Apply structured evaluation of AI explanations • Detect factual errors and content biases • Contribute to AI QA standards through collaboration
As a Prompt Engineer and AI Data Reviewer at Verbatext.ai, I annotate, classify, and evaluate scientific, technical, and general content for AI training datasets. I assess AI-generated explanations and summaries for accuracy and logical consistency and identify inconsistencies and errors to improve dataset quality. I research topics in biology, biotechnology, anatomy, and physiology for accurate data labeling. • Annotate and review AI outputs in scientific domains • Evaluate logical consistency and scientific correctness • Classify and flag errors in technical content • Research and label topics for dataset enhancement
While working as a Research Assistant at LexlabsAI, I labeled and categorized STEM educational data, primarily biology-focused. I extracted key scientific features and supported taxonomy creation for educational content development. I also participated in mapping concepts using structured classification techniques. • Labeled and classified educational biology data • Extracted features from scientific texts • Supported scientific taxonomy and mapping • Organized biomedical educational materials
As a Biological Research & Laboratory Assistant, I labeled and documented experimental and biological research data with high precision. My work included recording structured results, synthesizing findings, and supporting foundational laboratory research through careful data organization. I maintained strict compliance with scientific data labeling protocols. • Structured labeling of experimental lab data • Documented biological sample data for research use • Summarized biological findings for records • Ensured data accuracy and compliance
Bachelor of Computer Science, Computer Science
Biological Research & Laboratory Assistant
