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Work experience


Graduate Research Assistant

Climer Research Lab, University of Missouri - St. Louis

Developed a scalable Genetic Algorithm for Clustering the Alzheimer’s (SNIP Network Dataset) for identifying patterns through gene correlation for an average of 5 million nodes. This work is in collaboration with Daniel Jacobson's Lab at Oak Ridge National Laboratory, TN


Software Developer Intern

Inwhizz Innovations Pvt Ltd, Hubli, India
  • Implemented Radius search for marking nearest paying guest houses based on the relative distance to user using GoogleMapsAPI for Android Application.
  • Notification Console was developed for management of clients, connecting and shooting updates and recent changes.
  • "MakeMeFit" - a fitness based app developed as a part of the Fitness Health Campaign, reminding users to drink water at regular intervals, emergency help and notifying nearest hospitals on emergency situations. 



Masters in Computer Science

University of Missouri - St.Louis, USA, GPA: 3.52/4
  • Fall 2016 -  Machine Learning, Programming Languages, Advanced iOS Programming
  • Spring 2017 -  Advanced Data Structures and Algorithms, Intro to Evolutionary Computing, Software Engineering
  • Fall 2017 -  Operating Systems, Genetic Programming, Thesis

Bachelors in Computer Science and Engineering

Vellore Institute of Technology, Chennai, India, GPA: 8.62/10



Transmission in Benes Network

Team Size : 6

Co-authored the Paper under the supervision of Dr.IndraRaj Singh, the paper reduces the time to find shortest distance between two vertices in a special networks classified as Benes Networks. This network provides high system throughput, low end-to-end packet delay, eliminate the need to employ exuberant switches and routers in Data centers. Has been published in International Journal for Pure and Applied Mathematics (IJPAM). Did my research under the guidance of:

e-copy : | git :



Clustering of Complex Networks

Climer Lab at University of Missouri St. Louis and Oak Ridge National Lab

Developed a novel Genetic Algorithm for clustering of networks with more than 5 million nodes. Optimized dataset memory using 3-Dimensional Bit Array based storage container. This project is carried out in collaboration with Oak Ridge National Lab by using NVIDIA Titan's resources for computation of huge datasets. 



Team Size : 6

Eventzé is a simple and efficient way to manage your college fest. It covers all aspects of organizing a college fest from registrations to sale of merchandise to book-keeping. It is capable of creating detailed records to provide a complete overall analysis of a college fest. In simple words it is all you need to host a fest successfully. 

Realtime project with currently more than 6 universities deployed for managing their technical and cultural festivals. 

  • Online payment gateway integration using OOP based external Gateway (Instamojo) Library. 
  • Ruby fashioned custom log files for CodeIgniter.
  • DigitalOcean API wrapper library for CodeIgniter for Domain Management.
  • Custom shell scripts for monitoring disk space - notifying via email for over 80% usage, cron jobs for shooting emails.
  • Developed Job Scheduler for CodeIgniter for handling emails jobs in queue.
  • Developed a wrapper for DNS Record Management through DigitalOcean API
  • Converted Native Instamojo Payment Gateway Library from PHP to CodeIgniter library. 
  • Languages : PHP(CodeIgniter Framework), Shell Scripting, AJAX, JS, ReactJS
  • URL :


Team size: 2

This project was developed as a part of Bachelors degree requirement, a prototype of Raspberry Pi based wirelessly controlled robot that can sweep any environment which is not physically accessible to humans and generates a blueprint on the fly. Inspiration and the idea to develop this project was taken from Google's Project Tango.

  • Languages used : Python                                                                                                                                                
  • Libraries: Python's Turtle library.                                                                                                                                    
  • Hardware: Raspberry Pi 2, sonar sensor, camera, motor and Wifi technology

Semantic Device Review Analyzer

Team Size : 2

An NLP based Device Review System basically provides, gathers and collects the reviews from other sites and from users, mapping the unstructured data(words) to reviews points. First is the unstructured data(words) mapped to star ratings, semi-structured data where the word(sentimental words) are mapped to the weighted word database. Unknown words(sentimental) are scraped from Google and using synonyms and antonyms the corresponding sentimental words are mapped and inserted into the database. The third phase involves scraping review text from e-commerce sites and aggregating them using NLP techniques.

  • Languages : BOOTSTRAP, HTML, CSS, JS, PHP, cURL Library and NLP Parser, Database: MySQL.


C++/Python/Shell Scripting/Java

Programming Languages


Web Programming Languages




App Development


Windows, Linux, Git, cPanel, Wireshark, VirtualBox, Vagrant, Photoshop, CorelDraw, Dreamweaver, vi/vim, tmux, AWS, DigitalOcean, WordPress, Moodle, Android, IBM DB2, Genetic Programming, Machine Learning, XCode, Docker, PubNub, IBM Bluemix., IoT, RaspberryPi.

Extra Curricular Activities

  • Volunteer for STLCybercon 2017 held at University of Missouri, St.Louis. 
  • Organizer and Mentor for "Android Amaze Hackathon 2015", VIT University, Chennai, India
  • Triton-s-PARK - Winner(Special Mention) of UMSL HACK 2016 worth 500$ prize money at University of Missouri, St. Louis.


Writing blogs | Playing guitar | Love to cook |  Sing