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Data Collection
Prompt + Response Writing (SFT)AI Reviewer (LLM evaluation, scoring, hallucination identification) at Handshake AI. Brings 10+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Jira. Education includes Master of Information Technology, Southern New Hampshire University and Master of Public Health, Southern New Hampshire University (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.
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Evaluation/RatingReviewing and rating 2-8 artifacts via PowerPoint that are anywhere from 6 slides and up and rating them using a specific rubric (1-7 with 7 being flawless)and the output from prompts to ensure the outputs are aesthetically and visually pleasing.
TextPerformed high-volume LLM evaluation by ranking and scoring outputs for accuracy and instruction-following. Identified and documented hallucinations, bias, and technical inconsistencies to improve training datasets. Ensured all annotation followed complex project guidelines and quality standards. • LLM output ranking and scoring • Hallucination and bias identification • Quality assurance against detailed annotation rubrics • Prompt/response variety generation across topics
TextClassificationSupported AI/data-governance oriented project governance by implementing dashboards to improve visibility into data risks and performance. Coordinated secure integrations and monitored system access to uphold operational and security policies. While not performing direct dataset labeling, the role contributed to data validation and quality oversight for enterprise systems. • Governance dashboards for data risks • Data governance/validation oversight • Secure integration coordination • System access monitoring
TextOversaw end-to-end testing and configuration validation to reduce post-deployment defects. Led Agile ceremonies and managed workflows for concurrent technology projects using Jira. The testing and validation activities reflect structured evaluation work that supports data/system quality for AI-adjacent enterprise deployments. • End-to-end testing and configuration validation • Defect reduction through validation • Agile workflow management with Jira • Oversight of quality checks prior to release
Master of Public Health, Public Health
Bachelor of Science in Public Health, Public Health
Project Manager (Technology Implementations)
IT Security Project Manager
