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Ranjani Salla
Mid-level AI/ML Engineer specializing in LLMs, FinTech, and Healthcare IT
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About
Built production GenAI systems in both healthcare and financial services, including a Verily clinical platform and an Accenture financial Q&A product. Stands out for combining advanced RAG, fine-tuning, safety evaluation, and infrastructure engineering to deliver measurable gains in engagement, groundedness, hallucination reduction, and cost efficiency.
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Key Strengths
- End-to-end ownership of production GenAI/LLM systems
- Deep RAG architecture expertise across clinical and financial domains
- Strong evaluation mindset combining automated metrics with expert human review
- Hallucination reduction in high-stakes domains
- Production optimization for latency and cost at scale
- Built scalable LLM infrastructure used by multiple engineering teams
- Translates research ideas into reliable production systems
- Context management for long-horizon conversational AI
- Safety-focused AI design with traceability and validation layers
- 20% improvement in patient engagement at Verily
- 35% reduction in hallucinations in clinical AI system
- 28% improvement in response groundedness
- 30% lift in user engagement for financial Q&A product
- 40% reduction in hallucinated financial advice versus zero-shot baseline
- 22% reduction in GPU inference cost without meaningful quality loss
- Improved team velocity via shared Python library and standardized APIs
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