Rajesh Madhipati

1)Developed an AI-based market intelligence product from requirements analysis and proof-of-concept to full-scale automated deployment, using Firecrawl and Pyppeteer to automate competitive news scraping, significantly reducing manual effort 2)Shipped a production agentic RAG system using LangChain, Azure AI Foundry, ChromaDB and Streamlit that engineering teams use daily to query internal documents through natural language. Built evaluation pipelines to monitor answer quality in production

1)Developed a time series-based machine learning model using LSTM for dynamic price prediction of chemicals 2)Conducted complex data analysis using PCA and LDA on human sweat data to uncover correlations with activity levels 3)Managed system installations and oversaw network configuration and maintenance to ensure seamless IT operations 4)Management of Chair website using WordPress.

1)Architected and implemented enterprise ETL pipelines for large-scale data migration to Snowflake, optimizing performance through custom SQL procedures and orchestration workflows while ensuring data integrity and compliance 2)Transformed complex financial datasets through Python and R-based data processing pipelines, creating interactive Power BI dashboards with DAX measures that drive strategic decision-making across the organization

1)Applied OCR + ARIMA forecasting models to analyze tax returns & sales data, achieving RMSE 4.9 and reducing reporting time by 40% 2)Led product development lifecycle, coordinating with cross-functional teams in an agile setup