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Learning, building, and getting better every day
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Learning, building, and getting better every day
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Riyasharma-17/README.md

Hi, I'm Riya Sharma 👋

Building AI-powered applications — RAG pipelines, LLM APIs, full-stack tools.
3rd year CCE @ Amrita Vishwa Vidyapeetham · Targeting AI Engineer internships off-campus.

🔨 What I'm Building

Project What it does Stack
AI Study Assistant RAG pipeline over custom docs — ask questions, get cited answers Python · Gemini API · ChromaDB
SpeechCraft AI Real-time speech feedback with gamified interface Groq API · Web Speech API · React
CLI Q&A Bot (in progress) Multi-provider chatbot — Groq + Gemini, streaming, JSON output Python · Groq · Gemini · FastAPI

🧠 Current Focus

GenAI Engineering:   RAG · LLM APIs · LangChain · Prompt Engineering · FastAPI
Languages:           Python · Java · JavaScript
Frontend:            React · Tailwind CSS
Also practicing:     DSA daily (NeetCode/LeetCode)

📚 Learning

  • NPTEL — Large Language Models (enrolled)
  • Working through: LangChain docs · Anthropic Prompt Engineering guide · FastAPI tutorial

📊 GitHub Stats

🤝 Connect

LinkedIn Email

Open to AI Engineer internships, project collabs, and referrals.

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  1. ai-study-assistant ai-study-assistant Public

    AI-powered PDF Study Assistant built with Python, Gemini API, and RAG concepts for document-based question answering.

    Python 2 1