I am an self-taught developer | AI Engineer and passionate about creating practical AI solutions that make life easier and smarter. With experience in building intelligent agents, RAG-based applications, and automation tools, she has worked with technologies like Python, LangChain, LangGraph, OpenAI, Groq, Gemini, and Hugging Face. I have contributed to real-world projects, including multi-persona AI assistants, legal FAQ bots that blend advanced retrieval systems. Currently, she works with a startup as an AI Engineer, where she focuses on developing customized AI-driven systems using LLMs, vector databases, and API integrations.…

Shahnaz Umer

I am an self-taught developer | AI Engineer and passionate about creating practical AI solutions that make life easier and smarter. With experience in building intelligent agents, RAG-based applications, and automation tools, she has worked with technologies like Python, LangChain, LangGraph, OpenAI, Groq, Gemini, and Hugging Face. I have contributed to real-world projects, including multi-persona AI assistants, legal FAQ bots that blend advanced retrieval systems. Currently, she works with a startup as an AI Engineer, where she focuses on developing customized AI-driven systems using LLMs, vector databases, and API integrations.…

Available to hire

I am an self-taught developer | AI Engineer and passionate about creating practical AI solutions that make life easier and smarter. With experience in building intelligent agents, RAG-based applications, and automation tools, she has worked with technologies like Python, LangChain, LangGraph, OpenAI, Groq, Gemini, and Hugging Face.
I have contributed to real-world projects, including multi-persona AI assistants, legal FAQ bots that blend advanced retrieval systems. Currently, she works with a startup as an AI Engineer, where she focuses on developing customized AI-driven systems using LLMs, vector databases, and API integrations.

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Work Experience

AI Engineer (Remote) at RAEN.AI
December 1, 2023 - Present
Designed and deployed custom LLM-powered AI agents for client-specific use cases, improving operational efficiency. Engineered end-to-end RAG pipelines utilizing LangChain and Qdrant for vector search, enhancing information retrieval accuracy from custom knowledge bases. Developed a multi-persona chatbot using LangChain and RAG, enabling dynamic behavioral switching based on user context. Built a graph-based recommendation system by integrating LangGraph and Neo4j, facilitating real-time, personalized user suggestions. Integrated AI features into applications via REST APIs and collaborated with cross-functional teams to deliver production-ready solutions.

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