Anil Keshwani
About Me
Senior Data Scientist with 7+ years of experience in machine learning and tech. Motivated by translating ML research into production. Passionate about linguistics, STEM and social impact.
Research Interests
- Multimodality: speech, vision, self-supervised learning
- Translation & Multilinguality: multilingual LMs, low resource languages, speech-to-speech translation (S2ST)
- Interpretability: explainability, probing, fairness
Industry Experience
Deep Learning Scientist - Translated
- Text-to-speech: Trained & deployed several architectures from scratch in multiple languages
- ML solutions: Built Bayesian A/B testing toolkit for interpretable experiment analysis & a routing model for translation jobs based on document semantics
- Interviews: Ran technical interviews for ML engineering intern candidates
Statistician - FFT Education Datalab
- Statistical forecasting systems for student grade predictions and value-added analysis
- Causal inference for educational intervention assessment inc. delivery of technical and non-technical reports
- Contributed statistical algorithms to Aspire analytics platform (FFT core product)
Health Intelligence Analyst - Public Health England
- Compiled and published national statistics on dementia and mental health service use
- Automated data pipelines for national dementia & mental health statistics
- Integrated the Mental Health Services Data Set into PHE infrastructure
Publications
-
EMNLP
Empirical Methods in Natural Language Processing, 2025 (Findings)
Education
- M.Sc. Data Science - University of Rome Sapienza
- B.A. Biological Sciences - University Of Oxford