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Supriya Alavala
Junior Full-Stack Engineer specializing in AI systems and healthcare RAG
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About
AI/full-stack engineer with hands-on experience shipping both computer vision and LLM products in production across marketplace and healthcare settings. Built an automated device grading system at Northladder and improved a Deloitte healthcare chatbot using RAG, with a strong emphasis on grounding, validation, uncertainty handling, and human review for high-impact decisions.
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Key Strengths
- End-to-end ownership of AI-powered full-stack features
- Production computer vision systems for automated device grading
- Reduced false positives by 25% in device damage assessment
- Built low-latency systems supporting 100+ concurrent uploads
- Strong retrieval and grounding design for healthcare LLM applications
- Improved chatbot answer quality by about 30%
- Structured LLM output design with Pydantic validation
- Practical uncertainty handling and hallucination reduction
- Sound human-in-the-loop judgment for high-risk clinical decisions
- Effective model evaluation and selection in ambiguous early-stage environments
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