🤖 Ratchita B

🚀 GenAI Engineer focused on building intelligent, scalable AI systems & real-world applications
🤖 Specialized in LangChain, LangGraph, RAG pipelines & Multi-Agent Architectures
🧠 Skilled in Prompt Engineering, LLM Orchestration, Vector Databases (FAISS, Pinecone) & AI Memory Systems
⚙️ Experienced with FastAPI, Streamlit, REST APIs & end-to-end AI product development
📊 Proficient in LangSmith for LLM observability, debugging & performance evaluation
☁️ Deploying production-ready AI solutions using Docker, Hugging Face Spaces & Streamlit Cloud
🎯 Goal: To build industry-level, human-centric AI products that solve real-world problems at scale

🚀 Python • Generative AI (LLMs) • Prompt Engineering • RAG

⚡ LangChain • LangGraph • Hugging Face Transformers • Gemini API / OpenAI API

🔥 LangSmith (Tracing • Debugging • Evaluation)

⚙️ FastAPI • Flask • REST APIs

🎨 Streamlit • HTML • CSS

🧠 SQLite • FAISS • ChromaDB

🤖 Conversational AI • Chatbots • Multi-Agent Systems • Memory AI • NLP • Text Classification

🛠 Git • GitHub • VS Code • Postman • Jira

☁️ Streamlit Cloud • Hugging Face • Docker • AWS

📊 Pandas • NumPy

🔍 API Integration • Debugging • Optimization • AI System Design

• Integrated platform with multiple AI copilots for research, coding, data analysis, and image understanding • Includes Research Assistant, Coding Assistant, Data Analyzer, Image AI, and Chatbot • Built using Python, Streamlit, Gemini API

🔗 https://github.com/22AD040/ai-nexus-studio.git

• Enhanced version with prompt engineering and advanced AI workflows • Multi-functional AI system for productivity and intelligent automation

🔗 https://github.com/22AD040/ai-nexus-studio-v2.git

• Enterprise-grade AI system with semantic search, analytics, and AI recommendations • Implements embeddings, vector search, and decision intelligence systems • Built using Machine Learning, Sentence Transformers, Gemini API

🔗 https://github.com/22AD040/gen-enterprise-ai-nexus

• AI-powered semantic search using embeddings and cosine similarity • Built with FAISS, Sentence Transformers, Gemini API

🔗 https://github.com/22AD040/smart-ai-knowledge-navigator.git

• Multi-session chatbot with login system and chat history • Context-aware responses with persistent memory

🔗 https://github.com/22AD040/ai-nexus-chatbot.git

• AI-powered system for content generation, prompt engineering, and image workflows • Integrated creative AI tools into a single interface

🔗 https://github.com/22AD040/ai-smart-nexus-studio.git

• Document-based AI learning system with PDF Q&A and semantic search • Generates structured answers with insights and explanations

🔗 https://github.com/22AD040/smart-academic-assistant.git

• Full-stack system with Streamlit + FastAPI backend • Authentication, chat history, structured AI responses

🔗 https://github.com/22AD040/smart-academic-assistant-pro

• Retrieval-Augmented Generation system for document Q&A • Uses FAISS + LangChain + embeddings for context-aware responses

🔗 https://github.com/22AD040/smart-knowledge-ai-rag.git

• Supports multiple modes: Chat, Code, Academic, Prompt, Translate • Uses FAISS memory for intelligent context switching

🔗 https://github.com/22AD040/ai-nexus-multi-context-assistant

• Intelligent routing between tools and LLMs • Includes calculator, weather API, and search tools

🔗 https://github.com/22AD040/ai-nexus-multi-agent-assistant.git

• Multi-chat AI assistant with persistent memory • ChatGPT-like system with structured responses

🔗 https://github.com/22AD040/neurochat-memory-ai.git

• LangGraph-based chatbot with authentication & memory • SQLite-based chat storage with multi-session support

🔗 https://github.com/22AD040/neurograph-ai-chatbot.git

• Advanced multi-agent system with routing (Code, Math, Weather, Reasoning) • Uses tools like SymPy, APIs, and LLM reasoning

🔗 https://github.com/22AD040/neuroflow-ai-multibrain-system.git

💡 "I don’t just use AI — I engineer intelligence."

⭐️ Designed & Built by Ratchita B | GenAI Engineer 🚀