Area Manager I, Operations at Amazon (2026-01 – Present)
- Managed 50+ associates across 2 shifts, implementing automated reporting workflows to monitor real-time throughput data and flag performance deviations without manual intervention
- Leveraged AI-assisted analytics tools to model labor demand and optimize staffing allocations, driving a 40% improvement in team productivity
- Built and deployed custom KPI dashboards integrating automated data pipelines to surface operation bottlenecks and accelerate data-driven decision cycles
- Partnered with Safety, HR and Quality to identify process inefficiencies, resolve operational challenges and maintain compliance
AI Trainer (via Contractor) at OpenAI (2025-09 – Present)
- Conduct failure mode analysis on multimodal AI models across text, vision, and reasoning tasks, identifying systematic errors and edge cases using structured evaluation rubrics
- Perform adversarial testing and prompt engineering to probe model weaknesses, policy violations, and reliability issues
- Support model improvement pipelines through systematic annotation and documentation in distributed evaluation environment
Independent AI Engineer at Freelance (2025-01 – Present)
- Designed end-to-end AI system for healthcare clients with lead generation, referral management, and automated outreach
- Built PostgreSQL database schema and Supabase functions for real-time workflow automation and data management
- Developed Python pipeline integrating SERP API and proprietary LLM models, reducing processing time from weeks to 2 hours
- Achieved 60% operational efficiency improvement through RAG implementation and agent orchestration
Data Analyst at Telus International AI (2023-07 – 2024-08)
- Optimized AI chatbot performance through A/B testing, scenario analysis, and iterative prompt refinement, reducing handling time by 28% and increasing agent satisfaction by 37%
- Conducted quantitative analysis on search engine performance data, leading to enhanced SEO optimization
