Aditya Sharma Email & Phone Number
Who is Aditya Sharma? Overview
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Aditya Sharma is listed as Doctoral Student at Mila - Quebec Artificial Intelligence Institute, based in Montreal, Quebec, Canada. AeroLeads shows a matched LinkedIn profile for Aditya Sharma.
Aditya Sharma previously worked as Doctoral Student at Polytechnique Montréal and Research Consultant at Indian Institute Of Technology, Bombay. Aditya Sharma holds Doctor Of Philosophy - Phd, Computer Engineering from Polytechnique Montréal.
Email format at Mila - Quebec Artificial Intelligence Institute
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About Aditya Sharma
Aditya Sharma is a Doctoral Student at Mila - Quebec Artificial Intelligence Institute. He possess expertise in machine learning, natural language processing, reinforcement learning, deep learning, large scale optimization and 22 more skills. He is proficient in English, Hindi, Sanskrit and Punjabi. Colleagues describe him as "I had an opportunity to work with Aditya during our quest for solutions for our hyperspectral space satellite. He is someone with whom you can talk about crazy and impractical ideas, and he will come up with a full proof solution. He has a huge appetite for solving the impossibles and is genuinely interested in solving real-life issues. "
Listed skills include Machine Learning, Natural Language Processing, Reinforcement Learning, Deep Learning, and 23 others.
Aditya Sharma's current company
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Aditya Sharma work experience
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Doctoral Student
Current
Doctoral Student
Current
Research Consultant
Research Masters Candidate
Research Assistant
Working with Dr Partha Talukdar, at the Machine and Language Learning (MALL) Lab, in the Department of Computational and Data Science (CDS).
Summer Research Intern
Built an unsupervised extractive query focused summarization system to create targeted summaries from Google News articles.
Summer Research Intern
Worked on building an adversarial reinforcement learning based conversational agent for automating Intuit's Customer Care, using TensorFlow.
Google Summer Of Code Intern
Student Research Assistant
I did my undergraduate thesis with Dr Partha Talukdar in the Machine and Language (MALL) Lab in the Department of Computational and Data Sciences.Thesis Topic - "Asynchronous Distributed Stochastic Convex Optimization in MPI"
Research Intern
Machine and Language Learning Lab, Supercomputer Education and Research Center.• Implemented Distributed Optimization Algorithms for Representation Learning on the Cray XC40 supercomputer – SahasraT, the fastest supercomputer in India, using MPI-OpenMP.• Worked on asynchronous parallel implementation of Stochastic Gradient Descent.
Student Research Assistant
Research Intern
Worked in the Research and Development division on implementing a lossless version of the JPEG2000 image compression algorithm in MATLAB to be used for medical imaging applications by C-DIT (Centre for Development of Imaging Technology).
Aditya Sharma education
Doctor Of Philosophy - Phd, Computer Engineering
Bachelor Of Engineering (Hons.), Electrical And Electronics Engineering
Frequently asked questions about Aditya Sharma
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What company does Aditya Sharma work for?
Aditya Sharma works for Mila - Quebec Artificial Intelligence Institute.
What is Aditya Sharma's role at Mila - Quebec Artificial Intelligence Institute?
Aditya Sharma is listed as Doctoral Student at Mila - Quebec Artificial Intelligence Institute.
Where is Aditya Sharma based?
Aditya Sharma is based in Montreal, Quebec, Canada while working with Mila - Quebec Artificial Intelligence Institute.
What companies has Aditya Sharma worked for?
Aditya Sharma has worked for Mila - Quebec Artificial Intelligence Institute, Polytechnique Montréal, Indian Institute Of Technology, Bombay, Indian Institute Of Science (Iisc), and Indian Institute Of Science.
How can I contact Aditya Sharma?
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What schools did Aditya Sharma attend?
Aditya Sharma holds Doctor Of Philosophy - Phd, Computer Engineering from Polytechnique Montréal.
What skills is Aditya Sharma known for?
Aditya Sharma is listed with skills including Machine Learning, Natural Language Processing, Reinforcement Learning, Deep Learning, Large Scale Optimization, High Performance Computing, Tensorflow, and Satellite Command And Control.
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