Rabiya Arshad

At Glaxit Company, I build and deploy machine learning, deep learning, and LLM-powered systems for real-world business applications. I develop RAG pipelines, context-aware AI chatbots, REST API integrations, and agentic workflows that execute multi-step tasks with tool use and dynamic decision-making.

I've owned end-to-end AI delivery, from data preprocessing and feature engineering through model training, evaluation, and deployment. My work spans TensorFlow, PyTorch, LangChain, LangGraph, vector databases, and production API backends.

At DevelopersHub Corporation, I built predictive models for stock forecasting, house-price prediction, and heart-disease classification, while developing LLM chatbots, BERT text classifiers, and reusable ML pipelines. I also shipped interactive applications with Streamlit and Gradio and worked with real-time financial data through yfinance.

Alongside my engineering work, I lead event management for the AI Society at PAF-IAST, where I've organized large-scale AI Expos and coordinated volunteer teams. I'm continuing to deepen my MLOps and deployment engineering skills to ship reliable AI products.