Summary
Annamalai Narayanan is a Machine Learning Scientist (NLP) based in Singapore with 11 years of industry experience and a PhD in Machine Learning from Nanyang Technological University. He combines deep research roots with applied AI expertise, having led R&D efforts at Experian on transaction categorization and recommendation models and built production-grade retrieval, RAG and recommendation systems at Sembly. His work blends classical IR (BM25, multistage retrieval) with modern LLM-driven re-ranking, doc2query and entity-linked topic tagging to reduce hallucination and improve relevance and latency trade-offs. He has a track record of translating novel architectures—BERT-based models, transformers and biencoder/cross-encoder stacks—into commercial features for credit, fraud, and content discovery. Unusually for an ML scientist, he also brings embedded systems and software engineering experience from earlier roles, enabling pragmatic, production-ready deployments.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (B.Tech.) Information Technology, Bachelor of Technology (B.Tech.) Information Technology at Thiagarajar College of Engineering
Doctor of Philosophy (Ph.D.) Machine Learning, Doctor of Philosophy (Ph.D.) Machine Learning at Nanyang Technological University Singapore
English, Tamil