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Rishita Bhatt
Junior Software Engineer specializing in full-stack and AI/ML applications
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Full-stack and applied AI candidate who has shipped both a shift-management workflow product and an LLM-powered business insights system using Athena, S3, and Bedrock. They show strong grounding in prompt design, retrieval-based AI architecture, and practical human-in-the-loop product judgment, while also working in an early-stage university research project focused on accessibility for hard-of-hearing users.
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Key Strengths
- End-to-end full-stack feature ownership
- Strong TypeScript and Angular frontend development
- Backend API and data model design with Django/PostgreSQL
- Careful backend validation for workflow integrity
- Applied AI product development with AWS Athena, S3, and Bedrock
- Prompt engineering to improve grounding and reduce hallucinations
- Designing LLM systems with retrieval-based grounding
- Structured AI output design for usability
- Production AI evaluation using traces and output quality checks
- Thoughtful human-in-the-loop AI product decisions
- Ability to operate in ambiguous early-stage environments
- Accessibility-oriented product thinking
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