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Education:

University of Virginia, Charlottesville, VA

August 2021 - December 2022

  • Master of Computer Science (MCS)
  • GPA – 3.88

MGM’s Jawaharlal Nehru Engineering College, Aurangabad, India

August 2014 - May 2018

Affiliated with Dr. Babasaheb Ambedkar Marathwada University

  • Bachelor of Engineering in Computer Science and Engineering
  • Percentage – 75.5%

Saraswati Bhuvan Educational Society’s Junior College, Aurangabad, India

June 2012 – February 2014

  • 12th standard
  • Percentage – 81.23%

Oyster English High School, Aurangabad, India

June 2011 – February 2012

  • 10th standard
  • Percentage – 90.18%

Work Experience:

Berkley Technology Services, Manassas, VA

May 2022 - August 2022

IT Solutions provider for W.R. Berkley Corporation and its 65+ insurance companies

Position - Software Developer Intern

  • Worked with the DevOps team (Autobots) to help monitor infrastructure and code.
  • Learned to use an Application Performance Monitoring (APM) tool called Dynatrace.
  • Worked with Webhooks and REST API endpoints for integrations with external systems.
  • Understood Guidewire Software and Platform usage by P&C insurers.
  • Created multiple dashboards for monitoring performance metrics of Web services, DB services, MessageQueue services, and WorkQueue services using Dynatrace.
  • Enabled Dynatrace and Microsoft Teams integration for immediate access to problems identified with infrastructure and code.
  • Enabled Dynatrace and ServiceNow integration for automatic creation of service tickets as and when infrastructure issues arise.

DemandFarm Inc, Pune, India

July 2018 - June 2021

A software product company that offers B2B Key Account Management solutions

Position - Product Engineer | Salesforce Developer

  • Collaborated with 7 other team members on the core product.
  • Created 6 new features. Revamped 4 key features.
  • Developed a standalone Program Management application within Salesforce for a key customer organization. Currently used by 30+ people. Planned to be released as a new offering for other customers
  • Built a demo builder utility tool for QA, Sales, and Customer Success teams. It helps to achieve 4X efficiency.
  • Enhanced UX of features by using state-of-the-art Lightning Web Components (LWC) and Salesforce Lightning Design System (SLDS).
  • Improved performance metrics such as load time and action response time of certain features by 35%.
  • Rendered POCs and solutions, which helped to solve many of our key customers’ problems.

Projects:

Smart Garden Management using Discord newTab

March 2022 - May 2022

(Arduino, Sensors, Actuators, NodeJS, MongoDB, DiscordJS, Webhook, REST API, Heroku)

  • Created a Smart-Garden that can be remotely managed using Discord app.
  • Worked in a team of 4 people and headed the Software implementation.
  • Enabled communication between the Arduino attached to the Smart-Garden setup and user via Discord.
  • Created a Discord bot that acts as the broker between the Garden and the user.
  • Communication such as retrieval of information about the plants and actuating light and water supply was done using slash commands in Discord.

Browser Fingerprint Spoofer newTab

March 2022 - May 2022

(Javascript, Chrome)

  • Developed a chrome extension that spoofs the fingerprint of the browser.
  • When the extension is enabled, browser fingerprinting scripts on websites will misclassify the user as a TOR user.
  • Attempts to mimic TOR browser properties and hides the user in a pool of TOR users.
  • Spoofs canvas fingerprint and enables users to randomly choose desired user-agent for the browser.

Fault Localization in NoSql Queries newTab

November 2021 - December 2021

(Python, MongoDB)

  • Attempted to develop a fault localization tool for NoSql queries based on a IEEE research paper.
  • Implemented 2 program analysis concepts: Row-based dynamic slicing and Delta debugging.

Identification of a person’s interests based on tweets newTab

November 2017 - February 2018

(Python, Flask, and Jupyter Notebook)

  • Using twitter API and machine learning techniques, created an application that can reveal a person’s interests based on his/her tweets and the personalities they follow.
  • Trained two classifiers: one to classify tweets into categories such as sports, politics, movies, environment, and education and the other for doing sentiment analysis on the tweets.
  • Classifiers were implemented using two different algorithms separately – Naïve Bayes and SVM.

Virtual assistant application for windows

October 2016 - February 2017

(C#.NET and Visual Studio 2017)

  • Developed a windows application that performs tasks on receiving voice commands.
  • Was an attempt to replicate windows’ Cortana.

Website for a hotel

November 2015 - December 2015

(HTML, CSS, Vanilla JS, Bootstrap, PHP, and Mysql)

  • A dynamic website that enables customers to book hotels.
  • The site also bears a user profile module that enables them to see their booking status and also manipulate their profile's theme and style as per their will.

Languages, Frameworks, Tools, and Platforms I'm acquainted with:

c

C

c++

C++

java

Java

python

Python

js

Javascript

html

HTML5

css

CSS3

apex

Apex

lightning

Salesforce Lightning framework

vf

Visualforce

web-components

Salesforce Lightning Web Components

angularjs

Angular JS

slds

Salesforce Lightning Design System

bootstrap

Bootstrap

git

Git

mysql

Mysql

salesforce

Salesforce

redhat

RedHat

ubuntu

Ubuntu

dynatrace

Dynatrace