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Sai Amulya Pingili
Intern-level Data Scientist and AI Engineer specializing in applied LLMs and analytics
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About
Full-stack product builder with hands-on experience improving onboarding and reducing churn through guided tours, instrumentation, and A/B-tested feedback loops. They’ve also prototyped AI systems including a text-to-SQL RAG-based multi-agent workflow and built a real-time multiplayer React/TypeScript app on Supabase, while showing strong instincts around evaluation, UX, and production trade-offs.
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Key Strengths
- improved onboarding UX to reduce early-stage churn
- data-driven product iteration using A/B testing and feedback signals
- full-stack implementation across frontend behavior and backend instrumentation
- practical AI prototyping with text-to-SQL and RAG architecture
- evaluation-minded approach using golden datasets and LLM-as-judge
- real-time multiplayer product development with React, TypeScript, Supabase, and Postgres
- good awareness of production trade-offs and need for server-side guardrails
- automation of document validation for non-technical users
- delivered 99% accuracy in document validation workflow
- reduced document upload errors to under 10%
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