Ashvini Varatharaj is an interdisciplinary doctoral student and computational linguist with 12 years of experience bridging linguistics, computer science, and applied NLP to build education- and mental-health-focused technologies. Her work spans research and production: from developing transformer-based models and RAG systems for code generation to using computational modeling to study how children acquire emotional language and proto-lexicons from ambient exposure. She has shipped scalable ML solutions at Amazon and contributed applied research in edtech at WPI and UCSB, combining rigorous evaluation (A/B tests, metrics) with user-centered design for child-focused interventions. Ashvini also translates research into teaching and outreach, co-teaching linguistics to middle-schoolers and serving as a TA for computational linguistics and acquisition courses. Known for pairing strong publication-quality research with practical engineering (from AWS analytics stacks to testing pipelines), she focuses on technologies that measurably improve emotional intelligence and mental health outcomes for children.
12 years of coding experience
6 years of employment as a software developer
12th PUC, PCMC, 89.8, 12th PUC, PCMC, 89.8 at Deeksha Centre for Learning
Bachelor of Engineering (BE), Information Technology, 9.4, Bachelor of Engineering (BE), Information Technology, 9.4 at B. M. S. College of Engineering
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at Worcester Polytechnic Institute
6th-10th, Schooling, 6th-10th, Schooling at Sudarshan Vidya Mandir
Working with Atomic Wikipedia Edits dataset. This dataset provided by the LUNAR Lab contains atomic Wikipedia edits containing both insertions (13.7 million examples) and deletions (9.3 million examples) of a contiguous chunk of text in an English-language sentence.
Contributions:16 pushes, 1 branch in 1 day
sentencelunarenglish-languagedatasetwikipedia
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Ashvini Varatharaj - Doctoral Student at UC Santa Barbara