Jaya Chandra Karthikeyan Jammalamadaka

At AT&T, I design LLM datasets and retrieval-augmented generation pipelines that improve content safety and ML fairness across enterprise AI applications. I build bias detection, alignment, and prompt-stability solutions that reduce unsafe and unfair LLM outputs.

I also automate MLOps monitoring for model performance and data drift, develop Python machine learning pipelines, and strengthen multimodal LLM services against adversarial risks. My work combines generative AI security, containerized deployment automation, and legal and regulatory compliance for responsible AI delivery.

Previously at Cyient, I developed forecasting and classification models using Python, Keras, and PyTorch, while improving model fairness, adversarial robustness, experiment tracking, and CI/CD automation.

I began applying analytics and data safeguards at HDFC Bank, where I analyzed transaction patterns, automated validation processes, and supported multilingual content-safety frameworks. I hold an MS in Data Science and bring a practical focus on secure, scalable, and accountable AI systems.