Anil Keshwani

About Me

I am a Senior Machine Learning Engineer at ai-coustics where I work on our on-device neural networks for speech enhancement and acoustic scene modeling. I have over 7 years of experience in machine learning and enjoy translating research findings into products.

Research Interests

• Multimodality: speech, vision, self-supervised learning
• Translation & Multilinguality: multilingual LMs, low resource languages, speech-to-speech translation (S2ST)
• Interpretability: explainability, probing, fairness

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

Projects