Summary
Ashok Ajad is a Principal Scientist in AI/ML with around a decade of hands-on experience building and leading applied research teams that deliver production-grade solutions across healthcare, biometrics, oil & gas, retail and automotive domains. He specializes in graph representation learning, multi-task/meta-learning and responsible AI, and has translated research into impact—publishing papers, filing patents, and presenting at venues like RSNA, Intel AI Summit and ICONIP. At LTTS and Mantra Softech he led award-winning products such as an AI chest X‑ray assistant and advanced biometric systems, while also defining model evaluation metrics and FDA-focused regulatory artifacts. Known for bridging deep research with solution architecture, he routinely designs custom model architectures and automation pipelines to move prototypes into scalable deployments.
8 years of coding experience
7 years of employment as a software developer
Computer Science & Engineering || Machine Learning and Computer Vision , Computer Science & Engineering || Machine Learning and Computer Vision at Indian Institute of Technology (Indian School of Mines), Dhanbad
English, Hindi