Top Senior Natural language processing Developers - Sep 2017
Hey all - I've been developing web applications for 12 years and love teaching, whether it is your first time, you're looking to pick up a new skill, or keep up on the latest technologies. I'm happy to advise also on the best courses to take, how to establish your career, what technologies to learn next, and how to get your first application or company started.
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
With development experience working with five different startups over the past three years, Alex is experienced in both prototyping ideas from scratch as well as driving progress in existing platforms. As a self-driven freelance developer, a large part of his time is also devoted to non-coding tasks including communicating with clients, providing ideas and guidance, and rapidly becoming familiar with a new project or problem-space.
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.
ex-Intern at The New York Times and Google. Machine learning and functional programming nut.
Hey there! I’m Satwik, a Freelance Software Developer. I love writing code, participating in Hackathons and attending conferences. I actively contribute to Open Source world and I’m currently a Google Summer of Code student for coala. I'm also a core contributor to few other Open Source organizations as well. My skills of expertise include Web Development, Data Science, general Software development workflow (version control, releases, testing, etc), and Decentralized applications. In my leisure time, I like to explore latest technologies and frameworks. I don't drink coffee and lastly, I prefer all things Python!
Machine Learning enthusiast and Engineer.
B.Sc in Computer Science, and M.Sc. in Natural Language Processing. Experienced in Machine Learning & Natural Language Processing applications, those are my true passion as well. Also focused on Software Engineering and shipping Softwares with recent technology stacks. Have experience in both research and industry.
Backend NLP Engineer
I am passionate about natural language processing generally, with specific interests in natural language understanding/generation and information extraction. I worked on Google's Speech and Keyboard team for approximately three years, during which time I build language models for a wide array of human languages. During this time, I honed my skills with and understanding of machine learning algorithms, in particular state-of-the-art neural network research. Before that, I had various internships in which I built full pipelines to extract information like topics, named entities, and relationships between entities. Much of the text with which I worked came from medicine (doctor's notes, etc.); I believe that areas such as medicine hold great promise as socially beneficial uses of NLP technology. In these projects, I primarily relied on older NLP technologies like SVNs, CRFs, HMMs, and Maximum Entropy classifiers. I am currently experimenting with the use of evolutionary programming in NLP, attempting to bridge the gap between human and machine-internal semantic representations.
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