I am a Computer Engineering student from Texas A&M University with an ability to adapt to any situation and proven potential to grow self and others .
I love building things, finding new creative solutions to new and existing softwares and developing new algorithms.
My expertise include building scalable backend services, working with databases, working with different Frontend frameworks like Angular, experience with Version controlling system.
I have expert with languages like C++, python, Java and SQL.
1. FANATICAL LABS (Software Engineering Intern)
Developed a web application called as Glances that allows users to integrate and manage their accounts from different CRM softwares like Salesforce, SuiteCRM etc. Developed and added features like external links, search methods, views and worked on back-end side of application for making API calls to get all different kinds of data. All the features added are now being used by the customers.
2. ITREB (Web Developer Intern)
Developed an employee portal for the company website using MVC.NET framework.
Developed features like session authentication for users to safely logging into their accounts. Used SQL to store data in the back-end side.
Worked with a software developer to create an android app for vendors and private convenient stores with inventory re-stocking. Code was written in Java and developed using Android Studio.
Application scans UPC bar-code of products and at the end creates a list that allows users to keep track of inventory ordered and also shows history of previous orders by timestamp.
1. Tasteful Table (Angular, Firebase, Typescript, API services, HCI)
Application built using Angular Framework that helps users to find different food recipes based on different restriction such as number of calories, allergies, cuisine etc. Application was hosted on Firebase.
2. GOOGLE PLAY STORE ANALYSIS (Python, Machine Learning, Data Cleaning, Data Visualization)
Using a data-set from Kaggle, created a classification model that predicts whether an app will be successful or not. Most accurate model created was using Random Forest algorithm with an accuracy of 91.7% and wrote an analysis paper in CVPR format.
Developed a web application using Flask and machine learning model to predict the life expectancy of a person based on their gender, country and present age.
4. Maze Game (Data Structures, OOPS, File Handling)
Developed a maze game application in C++ language, where the user will be presented with a maze through input text file and let the user to maneuver around the maze. The program decides the winner with the least moves between the start and the end tile.