Experience

Remote

• Review AI-generated code across multiple programming languages (Python, TypeScript, Java, C) for correctness, efficiency, and maintainability, applying the same standards used in production code review.
• Evaluate large language model responses on complex coding and reasoning tasks, assessing factual accuracy, logical consistency, and instruction adherence to measurably improve model performance.
• Surface hallucinations, flawed reasoning, and security concerns through structured quality assurance, directly informing the reliability of AI-assisted developer tools.

Remote

• Earned the IBM SkillsBuild AI Fundamentals certification and applied the concepts in a hands-on project spanning machine learning, generative AI, and responsible AI.

Chicago, IL

• Delivered three automation tools from prototype to production — design, development, testing, deployment, and post-release support — cutting roughly one hour of manual work per run and eliminating repetitive Excel-based workflows.
• Partnered closely with engineers and stakeholders across multiple departments to run discovery sessions, gather requirements, and iterate on designs in fast, short delivery cycles based on direct feedback.
• Built an internal web tool that centralized onboarding resources and technical documentation, improving knowledge accessibility and streamlining onboarding for new employees.