Jan 2017 – Mar 2019 · 2 yrs 2 mos

• Implemented a U-Net model(Image Segmentation) with transposed convolutions to identify the boundaries of a car in an image
• Implemented a character level multi-layer RNN for language modeling using Shakespeare's plays.10000000 characters were then generated using this model
• Implemented an attention based Seq to Seq multi-layer RNN model trained on English to French dataset
• Achieved 99.443% accuracy on Digit Recognizer/MNSIT on Kaggle by implementing a CNN model with Dropout, Batch-Norm, Exponential learning rate decay
• Achieved a loss of 13.6% for Housing Price Prediction on Kaggle using advanced Regression Techniques Lazzo, Ridge, Adaboost, GradientBoost, Ensemble
• Binary/Multi-class classification of vertebral column patients by implementing a 2 layer neural network in numpy
• Achieved 78% accuracy for Titanic survival prediction learning on Kaggle using various classification models and sklearn's pipeline for data cleaning, preprocessing, feature engineering, hyper parameter selection

Nov 2015 – Feb 2018 · 2 yrs 3 mos

• Worked on developing a SaaS product SAP MobileSecure using LAMP stack, OData/REST API's and developing front-end UI features with SAP UI5 library. Developed Proof of Concept using Nodejs, Cloud Foundary, Docker, container technologies to develop server-less computing functionality similar to AWS Lambda on top of SAP Cloud Platform and gained in-depth knowledge about web security and competent in protocols like SAML, OAuth.
• Currently I m working on delivering UI components as a part of an SDK using Android.

Oct 2014 – Nov 2015 · 1 yr 1 mo

• Handled infrastructure automation for Mobile Documents in SAP Cloud IaaS(Monsoon). Using Chef, i automated the automating standalone provisioning,installation/configuration of software packages like MongodB (single instance as well replica sets), Tomcat Server on RHEL systems.I also handled monitoring the health status of each component using Sensu, Nagios Plugin, JMX Proxy and centralizing the logs using Logstash.

May 2013 – Jul 2013 · 2 mos · Bengaluru, Karnataka, India

• During 2 months of my internship at Samsung, Bangalore, i worked on Android App Development.I created an Android app which can facilitate editing lyrics, cutting out small clips of audio files from a music file.This application was also implemented as kit for SKYLEAP framework which is designed for Android phones. This functionality will improve the UserExperience while searching through the playlist. I had used JAVA interfaces and callbacks to develop the application.