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Robert Kennedy
Senior AI/ML Engineer specializing in LLMs, generative AI, and applied research
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About
Research-heavy ML/AI candidate with a PhD/publications background who translated LLM evaluation and clinical summarization techniques into production at ModMed. They owned an end-to-end healthcare GenAI pipeline that cut clinician documentation time from ~22 minutes to ~7-8 minutes, reduced token costs by ~30%, and built an internal evaluation framework later adopted by multiple teams.
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Key Strengths
- Owned end-to-end GenAI clinical summarization pipeline in production
- Deep healthcare AI domain judgment with clinician/SME feedback loops
- Built defensible LLM evaluation framework without ground-truth labels
- Applied pairwise LLM-as-judge effectively for subjective quality ranking
- Strong safety mindset for clinical AI, including hallucination and dosage checks
- Balanced latency, cost, quality, and safety tradeoffs in production
- Drove major user impact: documentation time reduced from ~22 minutes to ~7-8 minutes
- Reduced token spend by ~30% month over month with smaller fine-tuned model
- Improved product responsiveness by lowering latency enough to eliminate UI slowness complaints
- Created reusable internal evaluation library adopted by two other teams
- Research-to-production translator with PhD/publications background
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Experience
Education
Awards
Skills
Languages
Publications
10 publications
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