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Mahevish User

@mahevishuser

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Data & GenAI engineer building scalable ML and LLM-powered solutions with RAG, automation, and APIs.

India

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What I'm looking for

I’m looking to apply my AI/ML and Generative AI expertise to build scalable, data-driven solutions. I want to work on LLM/RAG systems, predictive modeling, and practical automation with strong product ownership.

I’m a Computer Engineering graduate with hands-on experience in Artificial Intelligence, Machine Learning, Data Science, and Generative AI. I focus on building end-to-end solutions—from data preprocessing and model development to API integration and deployment.

I’ve developed AI-driven applications using Python, SQL, LLMs, and Retrieval-Augmented Generation (RAG) with LangChain and FAISS. In healthcare, I built an AI-powered chatbot that delivers context-aware responses from medical documents, with a complete pipeline for document processing, chunking, embeddings, semantic retrieval, and a FastAPI + Streamlit interface.

I’m also experienced in intelligent automation and multi-agent systems, including an end-to-end multi-agent workflow for automated development tasks (developer/review/QA/fix). I use Docker and Microsoft Azure for containerization and deployment, and I apply ML techniques for real-world predictive use cases like HR attrition and e-commerce purchase prediction.

Experience

Work history, roles, and key accomplishments

Generative AI Engineer

IntelliBI Innovations Pvt Ltd

Nov 2025 - Jul 2026 (8 months)

Developed an AI-powered healthcare chatbot using RAG with LangChain, LLMs, and FAISS, including document processing, chunking, embeddings, and semantic retrieval. Built a FastAPI backend with a Streamlit UI, containerized with Docker, deployed to Microsoft Azure, and implemented a multi-agent workflow to automate an end-to-end generative AI development process.

Generative AI Agentic AI RAG Lang Chain LLM Faiss Embeddings Document Processing Chunking fastAPI Streamlit Multi Agent Systems Agent orchestration Docker Azure Git GitHub

Machine Learning Engineer

IntelliBI Innovations Pvt Ltd

Mar 2026 - Apr 2026 (1 month)

Built an HR Attrition Prediction System using data preprocessing, EDA, feature engineering, and classification with Scikit-learn. Developed and evaluated predictive models to identify employees at risk and support data-driven HR decisions.

Machine Learning predictive modeling data preprocessing EDA Feature Engineering scikit learn Classification Model Evaluation

Data Scientist

IntelliBI Innovations Pvt Ltd

Mar 2026 - Apr 2026 (1 month)

Developed an ML-based E-Commerce Purchase Prediction System to predict customer buying behavior using activity and historical purchase data. Applied data preprocessing, EDA, feature engineering, and RandomForest classification to improve targeting and inform data-driven business decisions.

Data Science Machine Learning data preprocessing EDA Feature Engineering Predictive Analysis Random Forest Python