I am a Information Technology B.Eng. student from Pune Institute of Computer Technology. Currently, I am working as a Software Developer at InMobi. I am a problem solving and deep learning enthusiast. My research interests are at the juncture of software engineering and AI, solving problems which lie at the intersection of Computer Vision, Machine Learning and Natural Language Processing and I am always on the lookout for opportunities to learn more and work on exciting projects in this field. I am an active Open Source Contributor at CloudCV, an Open Source organization. I also actively work on Fabrik, an open source project aimed at lowring the barrier for getting started with deep learning.
Utsav Garg*, Viraj Prabhu*, Ram Ramrakhya*, Deshraj Yadav
SysML Conference(SysML), 2019 (In Review)
The paper presents an online neural network editor that provides tools to visualize, edit, and share neural networks from within a browser. Fabrik provides a simple and intuitive GUI to import neural networks written in popular deep learning frameworks such as Caffe, Keras, and TensorFlow, and allows users to interact with, build, and edit models via simple drag and drop with powerful collaborative features to enable users to iterate over model design remotely and at scale.
(* = equal contribution)
Mentoring students for CloudCV, helping them with various development problems, leading to the successful completion of over 40 tasks.
Working on implementing targeted content delivery system and AWS data pipelines for processing large scale data for analytics.
Student Developer, CloudCV
Worked on and currently maintain Fabrik, an open-source web application to collaboratively build, visualise and design neural networks.
Software Engineering Intern
Worked on designing and implementing SQL programming language judge and dashboard for interview pipeline on the InterviewBit platform.
Worked with hackerearth for designing competitive coding problems.
System Engineering Intern
Worked on designing automated test suites for NVIDIA’s video encoders.
An open source web application to collaboratively build and visualize neural networks with a simple drag-and-drop interface.
A deep neural network designed for detection of ships from satellite images, solution for the problem is based on U-Net architecture.
A bot designed to play the game FlappyBird using neural network, the bot learns to play the game and gradually improving using genetic algorithm.
Secure multi-owner data sharing system for dynamic groups in cloud is a platform that allows its user to share and manage their data ina secure way.
A network traffic classification tool designed using libpcap and python which uses deep packet inspection and machine learning techniques to classify network traffic.
Bachelor of Engineering in Information Technology
GPA - 4.00
Diploma in Computer Engineering
Class Rank: 1st (All 6 semester)
Passed with an aggregate of 89.03%