Saakshi Bhayana

AI Evaluator | Red Teaming & AI Safety | Gen AI | Prompt Engineering | Biomedical Domain Expert | Data Analytics

Role
Ai Evaluator & Labeling Analyst Iii at Meta
Location
Bellevue, WA, US
LinkedIn followers
500 followers

About Saakshi Bhayana

Analytical and detail-oriented professional with 9+ years in data analysis and quality assurance, now specializing in Generative AI systems. At Meta AI Safety, I stress-test AI models, conduct adversarial prompt engineering, and perform policy-aligned content evaluation to address ethical and safety concerns across sensitive domains, including finance, healthcare, and security.Driven to foster resilient and ethical AI systems, I specialize in multimodal evaluation, annotation workflows, and AI red-teaming, leveraging advanced analytical skills and a human-centered approach to tackle complex challenges. I focus on collaboratively identifying model vulnerabilities and enhancing AI systems to meet the highest standards of accuracy, safety, and performance.AI Skills: Multimodal Evaluation, Prompt Engineering, Annotation Workflows, Multilingual LLMs, AI Safety, Red TeamingTechnical Skills: Excel, Tableau, Power BI, SQL, R, Snowflake, Azure, REDCap, WordPress, Canva, ImageJ, LabVIEW, Prism

Experience

  1. Ai Evaluator & Labeling Analyst Iii

    Meta

    May 2025 — Present · Bellevue, WA, US

    Stress-test model defenses for sensitive domains such as finance, healthcare, terror, and related risks.• Support supervised fine-tuning workflows by flagging edge cases to deliver high-quality training data.• Perform prompt testing across multimodal AI systems (text, image, speech) to address safety concerns.• Identify, flag and rate policy violations in AI generative outputs to ensure adherence to ethical protocols.• Document model failures through adversarial prompts to flag and mitigate vulnerabilities in AI responses.• Track AI performance indicators, behavioral risk patterns, and model limitations to foster system resilience.(Via Rose-International)

Education

  • University of Washington

    Master of Science - MS, Information Resources Management

    2020 — 2022

  • Apeejay Stya Education (Svran Foundation)

    Bachelor of Science - BS, Biotechnology

    2010 — 2014

Skills

  • Laboratory Skills
  • Neuroscience
  • Molecular & Cellular Biology
  • Microbiology
  • Biotechnology
  • Biochemistry
  • Microsoft Office
  • Research
  • Radiology
  • Cell Biology
  • Confocal Microscopy
  • Mri
  • Molecular Biology
  • Data Analysis
  • Small Animal Imaging
  • Bioinformatics

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