Vishal Saini

• Developing an automated data pipeline using Python and Selenium to collect, organize, and store structured image datasets in Azure Storage. • Building an interactive Streamlit UI for easy selection, preview, and download of images, improving accessibility for internal users.

• Developed an LLM-powered natural language interface for structured databases to generate accurate OQL/SQL queries with 90%+ accuracy. • Fine-tuned 3 state-of-the-art LLMs (Mistral, LLaMA, GPT) using LoRA/QLoRA, enhancing model performance and query precision. • Designed and deployed a modular RAG pipeline with embeddings, vector databases, and Azure Web App, achieving 95% accuracy on GPT-4.1 for production-ready GenAI applications.

• Developed a RAG-based GenAI tool to automate drafting press documents, reducing manual effort by 83% and speeding up generation time. • Built the application using LLMs, LangChain, custom embeddings, FastAPI, and Streamlit UI, enabling efficient and user-friendly document generation. • Deployed containerized AI applications with Docker to Azure Web App, ensuring scalable, production-ready inference with backend integration.

• Built time series forecasting models (ANN, RNN, LSTM), reducing prediction error by 58% over baseline linear regression. • Optimized models via hyperparameter tuning, pruning, and retraining, cutting computational overhead by 40% while maintaining high accuracy. • Delivered robust forecasting solutions to guide data-driven energy management and demand planning.

• Reduced unplanned downtime by 30% using predictive maintenance models (Random Forest, XGBoost, time series) on CNC and SCADA sensor data, supporting real-time maintenance decisions for production lines. • Built 5+ end-to-end ML pipelines in Azure ML, automating steps from data to deployment, using MLflow to track experiments & ensure reproducibility. • Developed interactive dashboards and real-time monitoring tools with Python, enabling proactive fault detection and maintenance decisions.

Relevant Coursework: Machine Learning, Fundamentals of Machine Learning, Data Analytics and Artificial Intelligence for Engineers, Computer Vision, Robotics Systems