Latika Chawla is an AI/ML computational science specialist with over a decade of experience designing and operationalizing machine learning systems in production environments. Her work focuses on the computational foundations of applied ML: distributed training, model lifecycle engineering, reproducibility, and the practical challenges of moving models from research into production-grade pipelines. She has contributed to large-scale initiatives involving model deployment, data and model versioning, and the infrastructure required to make ML results reliable and reproducible. She writes about applied AI, computational science, and ML systems engineering, with a focus on bridging research-grade models with production realities.