
I'm current final year BTech student in Computer Science and Engineering at National Institute of Technology Karnataka, Surathkal. My key areas of interest are Deep Learning, Artificial Intelligence and Computer Vision.
Worked as data science intern at Sprinklr a privately held New York City-based software company that develops a SaaS customer experience management platform.
Worked as backend developer at KITISU a global cryptocurrency exchange platform.
Worked as frontend developer at SAVEMONK an online cashback portal for ecommerce organizations.
CGPA 9.16
Secured 95.8% in II-PUC Karnataka Board
Secured 10 CGPA in Xth std CBSE
Developed a CNN model to successfully predict parking slots in a satellite image and count number of empty parking slots using Python3 as the programming language. The dataset was acquired from SpaceNet Challenge and the robustness was tested on various other images from different sources.
Developed an online portal for automating the services in Health Care Center and Sports Complex in NITK Surathkal. Developed using Angular7 frontend, Express Js server with MySQL database. Implemented a pre diagnosis chat bot using NLP using NLTK library.
Implemented a natural disaster prediction system leveraging NLP from social media content to identify any anomaly in nearby regions and spread the awareness through it. Also the application takes live geographical movements data from monitoring centers and creates a cumulative display and notification system. Project got selected for showcase at national level by Microsoft India for AXLE 2019.
It is an online marketplace for classified ads Web Application to "buy and sell" commodities in NITK Surathkal built using Angular5 frontend, server developed using NodeJs and MongoDB as database.
Travelio is an Android Application developed to increase the user's productivity as a traveler. It has a lot of embedded features including Offline Internet, Geo-fencing and Cognitive Services.
This project is a sign language alphabet recognizer using Python, openCV and tensorflow for training InceptionV3 model, a convolutional neural network model for classification. Also REST API was developed using django-restframework to make the service available across all platforms.
A basic model of encryption decryption developed using XOR cipher with Asymmetric key implemented on Logisim and Verilog-HDL.
This is a Web Application developed using GoLang which collects daily news from The Washington Post website using their sitemap url. In this web app I have demonstrated how we can use Go Routines to speed up the loading speed of the site by reducing the idle time using Concept of Concurrency. Go routines can be thought of as light weight threads.
Microsoft CodefunDo++ Hackathon senior league winner. Top 18 teams to showcase the project at AXLE 2019 at Microsoft India among over 5200 teams.
Best paper award in ICInPro 2018 for presenting the research paper in Data Science stream.
Siemens MakeIT Real Hackathon finalists, finished in top 10 among over 1300 teams.
Winner of Microsoft CodeFunDo 2018 Online round and Senior league for developing an Innovative Android Application and selected for showcase at Microsoft Hyderabad Campus for AXLE 2018.
Invited for attending National Science Camp Vijyoshi at IISc Bangalore
Achieved AIR 530 in this prestigious exam and awarded KVPY fellowship conducted by DST, Govt of India.
Worked and mentored on many projects including AR Sandbox. The project was based on the projection of a geographical location on the sand and manipulating the surface to any shape and see the structural changes in the topography with fluid dyanamics involved.
Managed and conducted technical events, recruitments, took up projects and mentored juniors for summer mentorship in Machine Learning.