Rahul Soni is a Senior AI Engineer based in Singapore with nine years of experience building production-grade ML systems and medical AI. He combines a research background in interpretable deep learning from NUS with hands-on MLOps and LLM work at BAMF Health, focusing on explainability for clinical workflows and open-source medical models. Rahul has a strong track record operationalizing real-time systems—from OCR-driven customer onboarding at Bank Jago to fraud and anomaly detection at Morgan Stanley—bridging research insights with robust deployment. He is particularly focused on multi-model, fine-grained explanations and adversarial robustness to make AI trustworthy in high-stakes domains. Curious about symbolic AI and commonsense reasoning, he pursues methods for learning from limited data alongside his applied work, reflecting both academic rigor and product-oriented delivery.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech.), Electronics and Communications Engineering, Bachelor of Technology (B.Tech.), Electronics and Communications Engineering at Indian Institute of Technology, Guwahati
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at National University of Singapore
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