Nikhil Singh is an Applied Scientist with nine years of experience building production-ready ML systems across multimodal retrieval, NLP, and computer vision, currently working on Amazon Ads. He has designed multimodal-LLM embeddings for improved search relevance at Amazon AGI and developed a multi-LLM summarization framework that outperformed single-LLM baselines (ACL 2025 submission). His research track includes a byte-level tokenization technique for post-OCR correction (EMNLP 2022) and a modified A* algorithm for real-world mapping (IJCAI journal), reflecting a blend of theoretical rigor and engineering focus. Comfortable from scraping 65M court records into AWS to tuning transformer ensembles, he moves projects from prototype to scalable deployments. Outside formal roles he’s won hackathon awards for protein-embedding tools and maintains independent work on multilingual embeddings, code-switching, and transformer interpretability. Based in New York, he combines strong research publications with hands-on cloud and data engineering experience.
9 years of coding experience
2 years of employment as a software developer
University of California Santa Cruz
Bachelor of Technology - BTech, Information Technology, Bachelor of Technology - BTech, Information Technology at Manipal University Jaipur
Contributions:2 PRs, 14 pushes, 1 branch in 7 months
ruby-on-railsrailstwitter-likerubybasic-app
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