
Chirag J
AI Data Science Intern
Kompetenzen

Meine Dienstleistungen

Arbeitserfahrung
AI & Data Science Intern
Apollo Tyres • Vollzeit
Jan 2026 - Present • 7 mos
Led development and production deployment of a multi-agent AI orchestration system using NetworkX DAGs, specialized LLM agents, hybrid RAG, and Redshift tool-use for real-time operator support, recommendations, and live machine performance insights. Built power bidding and forecasting models (optimizing SMAPE) to generate actionable energy procurement recommendations based on historical and real-time data. Developed real-time computer vision pipelines for defect detection in tyre building processes, including advanced SEM image pre-processing for rubber compound samples (background streak removal using classical CV techniques like dilation, opening, morphological operations, and multiple approaches) to enable accurate impurity analysis. Drove significant adoption of agentic AI coding practices across the Digital Innovation Hub.