Rishabh Shukla

5.0

(4 reviews)

US$20.00

For every 15 mins

Sessions/Jobs

First 15 mins free for your first session

ABOUT ME

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 (+00:00)

Joined August 2016

EXPERTISE

NLP

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.

Nltk Gensim Natural language understanding Natural language generationLanguage modellingSequence taggingWord vectorsEncoder decoder

Recurrent neural networks

3 years experience

Being one of the most successful deep learning model for NLP, RNNs are what I am using all the time.

Lstm GruAttention networks

Lstm GruAttention networksLanguage modelsSeq2seq Encoder decoder

Deep Learning

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

AdagradRmspropDropoutEncoder decoderAutoencoders

Theano

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

Machine learning

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.

Shrine Random forest Linear regression

Shrine Random forest Linear regression Logistic regression

Neural Networks

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.

Theano TensorFlow Python

Theano TensorFlow Python NumPy

Keras

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.

Theano TensorFlow Preprocessor

REVIEWS FROM CLIENTS

5.0

(4 reviews)

Miro

January 2017

Very knowledgable!

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

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

data-tag

Tags textual data using NLTK and Open Data from Wikipedia.

JavaScript

EMPLOYMENTS

NLP Research Engineer

Factmata

2017-10-01-Present

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.

Open Source Developer(NLP)

Factmata

2016-12-01-2017-09-01

Developed NLP Backend for claim/fact identification on internet.