I'm a software engineer with over 3.5 years of experience in the software industry, working with Walmart and SAP Labs India. I graduated from Arizona State University with a Masters degree in Computer Engineering with a CGPA of 3.78. My interests include web development, network and security. I've developed full-stack projects using React, Redux, Webpack, Node, Express, Springboot, Django, Flask. To receive a copy of my Resume, please reach out via email or linkedin. I'd love to connect with you!
MS in Computer Engineering (Computer Systems) • Aug 2017 – May 2019
B.Tech in Electronics and Communication • Jul 2011 - May 2015
Software Engineer III• Dec 2020 – Present
Software Engineer II• Jul 2019 – Dec 2020
Front End Developer Intern• Jan 2019 – Apr 2019
Web Developer• May 2018 – Oct 2018
Associate Software Developer• July 2015 – April 2017
Summer Intern• Jun 2013 - Jul 2013
An event management application that allows users to create events, set event location, upload user photos and maintain custom profiles. The web application provides a live chat system for registered users to communicate.
An expense tracker that provides a great user experience to track and manage your expenses.
Provides a great and easy way for users to make their own personalized bucketlist.
A full stack application that allows users to view campgrounds with short descriptions. Authenticated users can view/add/update/delete campgrounds and add comments to campsites.
Implementing geospatial data processing methods in GeoSpark to detect hot zones and hot cells in Tempe taxi trip datasets stored in Hadoop HDFS clusters and analyzed the performance of implemented Spark-SQL queries
Analyzed input data obtained from sensors to distinguish between 10 different ASL gestures collected using with MYO band (worn on forearm) giving raw Electromyography (EMG) and Orientation data used to identify the finger gestures. Developed a program to classify different actions performed by users into corresponding gestures using some of the machine learning techniques like decision tree, support vector machine and neural network.
Developed a network scanning service to identify system reachability and vulnerabilities for devices on cloud network using RESTful APIs with Python and Flask. Performed a complete system scan to identify filtered/unfiltered ports and various services running on the ports to ensure security of the network is not compromised.
The android application was developed to measure inference run-time performance of various common Machine Learning classifiers like Naïve Bayes, Random Forest, Decision Tree, and SVM classifiers for a given dataset. Successfully reported performance (TAR: True Accept Rate, TRR: True Reject Rate, FAR: False Accept Rate, FRR: False Reject Rate) and execution time.