Shikha Bordia is an NLP research engineer at Verisk with nine years of experience building production-ready ML systems, specializing in multi-hop natural language inference, transfer and representation learning, and active learning. With an academic foundation from NYU (MS in Computer Science) and research roles at NYU Center for Data Science and Courant, she bridges rigorous research with pragmatic engineering to ship models that solve real-world problems. Her early career in finance and e-commerce—where she designed BI systems and optimized structured finance operations—gives her rare cross-domain fluency in modeling, automation, and business impact. Known for translating complex NLP research into deployable components, she also contributes to teaching NLP and computational semantics, reflecting a commitment to mentoring and reproducible science. Based in New York, she combines strong quantitative pedigree with hands-on product delivery, consistently prioritizing measurable improvements in production metrics.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, 3.7/4.0, Master's degree, Computer Science, 3.7/4.0 at New York University
B.Tech (Hons.), Ocean Engineering and Naval Architecture, B.Tech (Hons.), Ocean Engineering and Naval Architecture at Indian Institute of Technology, Kharagpur
Code and test data for "On Measuring Bias in Sentence Encoders", to appear at NAACL 2019.
Contributions:12 commits in 4 months
nlpnaaclsentencetest-datameasuring
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.