Top Natural language processing Developers of June 2017
CTO/Deep learning Researcher (NLP) @ Neuron
I am the CTO/Deep Learning Researcher(NLP) at Neuron and supervise the research and development work of Neuron's core NLP platform. Area of work: - Deep Learning in NLP - Recurrent/Recursive Neural Nets, Convolutional Neural Nets, Attention Networks - 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
Full Stack Developer
Ambitious about success but humble about learning, I consider myself to be a quick learner and ready to go the extra mile to attain the detailed precision. I believe making mistakes and asking questions are part of a learning process. I am always there with all the simplest answers and ready to help you out. I am here to help you and in turn hopefully learn something from you.
Software Engineer | Data Enthusiast
I'm a software engineer based in London. I have over 7 years experience coding. I have a first in Computer Science and have worked with the British government, IBM and the leading financial data provider (Bloomberg L.P.) . I'm now doing some freelance work now alongside my work in the fintech space.
Full Stack Software Engineer
I am a full stack software engineer who has worked on all areas of the technology stack using a variety of tools and languages. On a given day, I could be building a natural language data pipeline, architecting a series of microservices, or building a beautiful, intuitive single-page application. I am passionate about software engineering - it is incredibly rewarding to see ideas turn into software that improves our customer's lives, and it is exciting to be a part of teams that develops such software daily. When I am not programming, I enjoy coaching college debate, visiting art museums, or blogging about technology.
Data analysis and machine learning consultant
Sr. Applied Data Scientist at Cognizant
Jaganadh Gopinadhan has 12 plus years of industry experience, most of which has been focused on research and development in Data Science, Machine Learning, Natural Language Processing, Text Mining and Analytics, Semantic Web and Big Data technologies. In his current role as Manager - Projects and Sr. Applied Data Scientist at Cognizant Technology Solutions Pvt. Ltd., he is responsible for the realization of Data Science and Big Data Projects, Text Mining and Natural Language Processing tools and projects. Before joining Cognizant, he spent time in WNS Global Services Pvt. Ltd. Bangalore, where he was serving as Lead Analyst. Prior to this, he spent time in various MNC's and government sponsored R&D labs in India. He has a Bachelors and Masters degree in Sanskrit(Literature and Indian Logic) from the University of Kerala in Thiruvananthapuram India Specialties: Data Science Natural Language Processing Machine Learning Big-Data Text Analytics Text Mining Semantic Web Sentiment Analysis Social Media Analytics Hadoop and Map Reduce Free and Open Source Technologies
Let me help solve your toughest problems.
I pride myself on my ability to write solid, well documented and fully tested software. With the projects that I have worked on, my software has not only needed to hold up to use by its users, it has also needed to be able to withstand scrutiny in court. As a result, I take writing quality code very seriously. Over the last few years I have worked on creating a platform to revolutionize the way that investigators (of all kinds) explore unstructured data, primarily text documents. I did this by taking advantage of the latest technologies and techniques in information retrieval and natural language processing. I also created a simple yet powerful language that allows investigators to ask deeper questions of the data. The end result of all of that effort is a system that allowed a forensic accounting team, of just two people, to go through a collection of over 500,000 documents and find emails that allowed them to receive $4,000,000 in damages for their client. The original target was only $250,000.
Seasoned C/C++ coder with diverse experience from working for Apple to various start-ups
I honed my coding skill and expertise in machine learning at Apple. If you are a Mac or iPhone, my work is in there. My have worked in both low level algorithm implementation in C/C++ and application development in Objective-C, Swift and Java. After almost 10 years of tenure at Apple, I series short projects at various places, including start-ups like Lytro and Navdy and big companies such as Netflix. I love to use what I know to help others to jump start or to overcome obstacles.
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