Personal details

Rishabh S. - Remote

Rishabh S.

Timezone: London (UTC+1)

Summary

Area of work:

  • Deep Learning in NLP - Recurrent/Recursive Neural Nets, Convolutional Neural Nets, Attention Networks
  • Transformers, Sequence Labelling, Sentence Classification, Auto encoders, Encoder-Decoder Models, Sentence Embeddings, Predictive Statistical Modelling
  • Machine Learning - Regression, Ensemble Learning, Neural Nets, Recommendation Systems

Interested in working with:

  • Memory Networks
  • Deep Reinforcement Learning
  • Deep Generative Models
  • Optimization methods for DNNs
  • Deep Learning for Computer Vision

Work Experience

NLP Research Engineer
Factmata | Oct 2017 - Present
Development and Research work related to NLP Models to identify Misinformation on the internet.
CTO/Deep Learning Research Engineer
Neuron | Jul 2015 - Oct 2017
I worked on the core Machine Learning/Natural Language Processing platform at Neuron. I was also responsible for managing and integrating the work done by the team over the NLP platform, services and products.