srivishnukumark adlı kullanıcının profil görüntüsü
India bayrağı Chennai, India
27 Mayıs 2017 den beri üye
0 Tavsiyeler


Çevrimiçi Çevrimdışı
I love building all things AI. As can be seen from my prior experience, I can build End-to-End AI applications and come up with a complete product, hence I like to call myself a Full Stack AI Developer. I am an expert in conceptualising Neural Network models, especially in the Natural Language Processing domain. I am however open to exploring other domains in AI, such as Vision and Speech. As far as my programming and algorithmic skills are concerned, I am a competitive coder and am ranked in the 95th percentile on [url removed, login to view]([url removed, login to view]). I have just graduated from school and am freelancing to fund my graduate studies at the University of Oxford. I would love to collaborate or work for anyone who has an interesting AI product to work on.
$40 USD/sa
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Son Değerlendirmeler


Software Development Intern

Jan 2017 - Mar 2017 (2 months)

Built a Deep Neural Network(Convolutional LSTM) to analyse the flow of emotion in the text being typed by the user. The model was built using GPU-enabled TensorFlow. Served the model as a Web Service and used it in the Windows Software Keyboard. The served model is available for public use on [url removed, login to view]

Consultant Data Scientist

Sep 2016 - Nov 2016 (2 months)

Worked on building a self-help intelligent product for banks using Machine Learning and Web Services. This allowed the banks to build their own predictive analytics models, by just interacting with the interface and not with the intricate math involved in Machine Learning.

Data Science Intern

Jun 2016 - Aug 2016 (2 months)

Built an Intelligent Credit System, using Pandas, Scikit-Learn, Numpy and Pickle, used various Machine Learning Classification Techniques for building the model and then used a Hard Voting Technique to further increase the Accuracy. The Built Model was then provided for real-time usage, by using Web Services, dished out using a Django WebServer and JSON used as Data Interchange format.

Summer Research Intern

Jun 2015 - Jul 2015 (1 month)

Devised a novel text compression algorithm using frequent pattern mining and hash tables, presented our work at The First EAI International Conference on Computer Science and Engineering, Penang Malaysia. The proceedings are published by European Union Digital Library.


Bachelor of Technology, Information Technology

2013 - 2017 (4 years)


Triah: an intelligent guiding system for the visually impaired

To improve the quality of the lifestyle that the visually impaired possess, we propose an assistive model which combines the various aspects of computer vision. Our proposed model aims at detecting the number of faces by using Haar cascade classifiers and integrating it with Raspberry Pi. The processed images are run through the classifier, and the user is notified of the spatial orientation of the people surrounding them via headphones. DOI:10.1007/s40012-016-0111-2

Hash Based Frequent Pattern Mining Approach to Text Compression

The paper explores the compression perspective of Data Mining. Huffman Encoding is enhanced through Frequent Pattern Mining. The seminal Apriori algorithm has been modified in such a way that optimal-number of patterns(sequence of characters) are obtained. These patterns are employed in the Encoding process of our algorithm, instead of single character based code assignment approach of Conventional Huffman Encoding. DOI:10.4108/eai.27-2-2017.152268


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