About
Computer Science undergraduate with hands-on experience in Python, REST APIs, and AI/LLM integrations. Built RAG-based document Q&A and automated resume analysis tools using vector databases, embeddings, and Streamlit.
Education
- 2029
Skills
Tools / apps / platforms
Languages
Projects
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AI Resume Analyzer & Automation ToolPython, LLM API, Streamlit
Created an automated resume evaluation tool that parses text and performs skill gap analysis against job descriptions. Engineered custom prompt pipelines to deliver actionable improvement feedback and personalized skill recommendations.
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AI Document Q&A SystemPython, RAG, Vector DB, LLM API
Built an end-to-end RAG application allowing users to upload documents and query content in natural language. Implemented text chunking, embedding generation, vector database indexing, and LLM response synthesis.