Shivani Chaudhary
Hands-on experience building RAG systems and LLM-powered applications using LangChain, Groq, and Streamlit. Skilled in semantic retrieval, prompt optimization, and deploying scalable AI solutions with high accuracy and low latency.
Exploring the Digital Cosmos
Generative AI Engineer based in Navi Mumbai, Maharashtra, India, currently pursuing my Bachelor of Computer Science at Pillai College of Arts, Science and Commerce with a CGPA of 8.5.
I specialize in building RAG systems and LLM-powered applications using LangChain, Groq, and Streamlit. Skilled in semantic retrieval, prompt optimization, and deploying scalable AI solutions with high accuracy and low latency.
During my internships at CodSoft and Unified Mentor, I developed AI-powered applications using LLM APIs, implemented RAG fundamentals including document chunking and embeddings, and built structured LLM workflows evaluated on latency and response accuracy.
I've deployed projects on Hugging Face Spaces with secure API integration, achieving approximately 95% accuracy and under 3 seconds response time in production AI applications.
Certifications
Tech Constellation
Every tool I've used building AI-powered applications and RAG systems.
LANGUAGES
GENERATIVE AI
FRAMEWORKS & TOOLS
DEPLOYMENT & PLATFORMS
DATABASES
WEB DEVELOPMENT
Mission Log
CodSoft
CurrentPython & Generative AI Intern
Remote- ✦Developed AI-powered applications using LLM APIs for text generation and summarization, applying prompt engineering to improve output relevance.
- ✦Implemented RAG fundamentals including document chunking, embeddings, and semantic search in mini AI projects.
Unified Mentor
Python and AI Intern
Remote- ✦Designed AI-driven preprocessing pipelines using real-world datasets and applied NLP techniques for semantic similarity and text analysis.
- ✦Developed structured LLM workflows with LangChain and evaluated system performance based on latency and response accuracy.
Building the Future with AI
Integrating Generative AI workflows, RAG pipelines, and LLM-powered features into production applications deployed on Hugging Face Spaces.
Space Missions
AI-powered applications and projects built with real-world use cases.
GenAI RAG Application
Built a Generative AI web app using Streamlit and Groq LLM for real-time question answering with Retrieval-Augmented Generation.
- ✦Implemented RAG pipeline with LangChain, text chunking, and embeddings to improve answer accuracy and relevance.
- ✦Deployed on Hugging Face Spaces with secure API key management.
- ✦Built real-time question answering interface using Streamlit and Groq LLM backend.
AI Live Assistant
Developed an AI chatbot using Python, Streamlit, Groq AI, and SerpAPI with real-time web search capabilities.
- ✦Integrated NLP and external APIs (SerpAPI) to enhance response accuracy with live web data.
- ✦Deployed on Hugging Face Spaces with secure API integration.
- ✦Achieved ~95% accuracy and under 3 seconds response time.
Book Rental Website
Developed a full-featured web-based Book Rental System with user authentication and role-based access control.
- ✦Implemented user authentication and role-based access control for admin and user roles.
- ✦Built features for book browsing, renting, returning, and rental tracking.
- ✦Created an admin dashboard for complete rental management.
AI Resume Analyzer
Built an AI Resume Analyzer using Groq LLM and Pydantic that scores resume-JD match, flags missing keywords, and rewrites weak bullet points with structured JSON output.
- ✦Implemented multi-step prompt engineering to extract validated structured data from unstructured resumes using Pydantic models.
- ✦Built resume-JD matching algorithm that scores alignment, identifies missing keywords, and suggests improvements.
- ✦Deployed on Hugging Face Spaces with secure secret management and Git-based version control.
Begin the Transmission
Open to full-time roles, internships, and interesting collaborations. Let's build something remarkable.
Navi Mumbai, Maharashtra, India
IST (UTC+5:30) · Open to remote globally