Rohan Pota
SOFTWARE ENGINEER ·
F3, Pancharatna Apt., Vrundavan Park, New Sama Vadodara - 390008
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“Always eager to learn new technologies”
Education
SVNIT(National Institute of Technology(NIT)) Surat
B.TECH. IN COMPUTER ENGINEERING
Surat, India
Jul. 2012 - May. 2016
• Main subjects: Analysis and Design of Algorithms,Data Structures, Operating Systems, System Software, Computer Networks,Database
Management Systems,Software Engineering,Internet Technologies.
Bachelor Thesis: ”Speaker Recognition using Deep Belief Networks”.
Experience
Software Engineer
Gandhinagar, India
CYBAGE SOFTWARE PRIVATE LIMITED
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Jul. 2016 - Present
Developed applications in Csharp .NET, MS SQL Server,REST API, JSON, XML
Developed frontend with React.js,redux,material UI, Utilized Javascript ES6, Node
Tooling:- Git,Gulp,webpack,babel
Agile methodology
Improved the code quality of the existing projects and reduced the technical debt
Mentored new team members to make them productive in short time
Core Member
Surat, India
GOOGLE DEVELOPERS GROUP, SURAT
May. 2013 - May. 2016
• Organized and took part in various hackathons
• Imparted different training workshops on full stack development, machine learning, open source awareness
• Managed team of developers responsible for design, development and maintenance of web sites for different department, college
fests, etc.
• Responsible for nation wide outreach program to invite different subject matter experts to give informative lectures and workshops
Projects
Speaker Recognition using Deep Belief Networks
PYTHON,THEANO,NUMPY,CUDA-NVIDIA TOOLKIT,MATLAB,MICROSOFT VAD
India
July. 2015 - May 2016
• Deep Belief Networks (DBNs) were used to model discriminatory target and impostor i-vectors in a speaker verification task.
• We adapted the network parameters of each speaker from a background model.
• An impostor selection method was developed which helped the DBN to outperform the cosine distance classifier.
Bloggit
India
NODEJS, EXPRESSJS, REACTJS, MONGODB, DOCKER, WEBPACK
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July. 2015 - Nov 2015
Fully featured full stack production level blogging application like Medium
User can post blog posts, see others blog posts, follow different users and read their content
Users can comment on the blog posts, follow/unfollow different users, upvote/downvote blog posts
Implemented a search functionality based on searching via tags related to different blog posts.
Also featured a rich timeline of content from followed users
Seminars
APRIL 27, 2018
ROHAN POTA · RÉSUMÉ
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NIT Surat
Surat, India
FACIAL RECOGNITION USING CONVOLUTIONAL NEURAL NETWORKS
Feb. 2016
• Introduction to CNN, different layers of CNN(max pooling layer,convolution layer etc)„also the layers that have been developed recently such as RELu layer.
• The challenges faced by CNN,how it can be fooled wherein I demonstrated via visual aid.
• A live demonstration of a CNN that I developed for facial recognition.
APRIL 27, 2018
ROHAN POTA · RÉSUMÉ
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