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Noelle Keto
Intern/Student Software Engineer specializing in full-stack development, AI/ML, and quantitative finance
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About
Software engineering intern who built an internal AI-agent automation using the Gemini API to reduce manual CRM data entry, iterating prompts closely with analysts to address precision concerns. Also worked on a medical image-diagnostics LLM project involving fine-tuning and benchmarking multiple model approaches, and has quant/sales-trading experience building automated pricers for complex options and persuading sales teams to adopt them with ROI-focused metrics.
Experience
Education
Key Strengths
- Takes AI/LLM prototypes to production by mapping business workflows and targeting highest-inefficiency steps
- Improves LLM accuracy through tight feedback loops with domain experts and precise prompt iteration
- Real-time troubleshooting of LLM/agentic systems using observation plus logging/tracing to isolate root causes
- Model selection and evaluation via benchmarking across architectures (e.g., CNN vs image-to-text + GPT) against strong baselines
- Adapts technical instruction to mixed-skill audiences (advanced CS cybersecurity course assistant)
- Drives adoption with customer-facing teams by quantifying ROI (hours saved), accuracy, and metrics in stakeholder presentations
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