Rishabh Shukla

Rishabh Shukla

Mentor
5.0
(4 reviews)
US$20.00
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ABOUT ME
Lead ML Engineer @ Lifebit
Lead ML Engineer @ Lifebit

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
English
London (+01:00)
Joined August 2016
EXPERTISE
3 years experience
NLP is my core area of expertise, and most of my work revolves around Deep Learning based research and development in the field of NLP. I...
NLP is my core area of expertise, and most of my work revolves around Deep Learning based research and development in the field of NLP. I have also taken multiple workshops on NLP in past.
NltkGensimNatural language understandingNatural language generationLanguage modellingSequence taggingWord vectorsEncoder decoder
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3 years experience
Being one of the most successful deep learning model for NLP, RNNs are what I am using all the time.
Being one of the most successful deep learning model for NLP, RNNs are what I am using all the time.
LstmGruAttention networks
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LstmGruAttention networksLanguage modelsSeq2seqEncoder decoder
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3 years experience | 1 endorsement
Deep Learning has obviously showed really good results in the domain of NLP and Computer Vision in last few years. So, most of the time I...
Deep Learning has obviously showed really good results in the domain of NLP and Computer Vision in last few years. So, most of the time I am reading research papers about the state-of-the-art work in the field of NLP and Computer Vision using Deep Learning. I am also interested in different optimization methods for Deep Learning. I have also organized multiple workshops on "Deep Learning in NLP".
AdagradRmspropDropout
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AdagradRmspropDropoutEncoder decoderAutoencoders
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2 years experience
Theano has been my most favorite tools for coding neural nets and deep neural nets for a while. Mainly because of the flexibility of thea...
Theano has been my most favorite tools for coding neural nets and deep neural nets for a while. Mainly because of the flexibility of theano, where you can actually work at a really low level.
Automatic differentiationSymbolic math
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Automatic differentiationSymbolic math
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4 years experience | 2 endorsements
I have been working with machine learning for more than 4 years now and have experience from classical machine learning models and tools ...
I have been working with machine learning for more than 4 years now and have experience from classical machine learning models and tools to state-of-the-art Deep Learning models and libraries.
4 years experience
Neural Networks are one of my favorite machine learning models. I have also taken a couple of workshops on Neural Networks and Machine Le...
Neural Networks are one of my favorite machine learning models. I have also taken a couple of workshops on Neural Networks and Machine Learning.
1 year experience
I use Keras all the time for rapid development purposes, mainly because of the high level modules it provides over theano and tensorflow.
I use Keras all the time for rapid development purposes, mainly because of the high level modules it provides over theano and tensorflow.

REVIEWS FROM CLIENTS

5.0
(4 reviews)
Miro
Miro
January 2017
Very knowledgable!
Jonathan Drake
Jonathan Drake
January 2017
He was quick to take the session. He quickly understood my question. He provided clear next steps. He helped me get started on my first session.
allan grosvenor
allan grosvenor
August 2016
Rishabh has some great knowledge and experience. He had some nice ideas and brought up key items to consider regarding my problem, and I enjoyed our session. I'm looking forward to another productive discussion with Rishabh.
SOCIAL PRESENCE
GitHub
phishing-websites
Identifies phishing websites using a treebag model
R
16
13
data-tag
Tags textual data using NLTK and Open Data from Wikipedia.
JavaScript
8
8
EMPLOYMENTS
NLP Research Engineer
Factmata
2017-10-01-Present
Development and Research work related to NLP Models to identify Misinformation on the internet.
Development and Research work related to NLP Models to identify Misinformation on the internet.
CTO/Deep Learning Research Engineer
Neuron
2015-07-01-2017-10-01
I worked on the core Machine Learning/Natural Language Processing platform at Neuron. I was also responsible for managing and integrating...
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.
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Open Source Developer(NLP)
Factmata
2016-12-01-2017-09-01
Developed NLP Backend for claim/fact identification on internet.
Developed NLP Backend for claim/fact identification on internet.