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YESHA BHAVSAR
Intern Software Engineer specializing in full-stack and AI applications
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About
Built and deployed an "AI Closet" application as a personal product, owning full-stack and applied AI features end to end. Particularly interesting for recruiters because they combined Next.js/TypeScript product engineering with practical AI systems work, including OpenAI vision-based smart form fill, personalized recommendation learning, and a grounded RAG application with evaluation and regression testing.
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Key Strengths
- End-to-end full-stack product ownership
- Applied AI product development
- Recommendation system design and personalization
- Type-safe full-stack architecture with shared TypeScript types
- RAG architecture and retrieval grounding
- Practical LLM reliability techniques
- Human-in-the-loop AI product judgment
- Iterative product development from user feedback
- Debugging and evaluation of AI systems
- Strong API and data model design
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