Android Engineer

Kunal Shitut Email : ******@***.***

Computer Science Graduate with Experience in AR,VR,MR Mobile : +1-585-***-**** and Fullstack Web & Mobile Development(Available March 2021) linkedin.com/in/kunal-shitut-311842100 github.com/ikun03 Education

MS in Computer Science at Rochester Institute of Technology Aug. 2018 { Dec. 2020 Courses: Algorithms, Computational Geometry, Advanced OOP, AI, Graphics,and CV GPA: 3.88 BE in Computer Engineering at University of Mumbai Aug. 2011 { June. 2015 Courses: Databases, Operating Systems, HCI, Mobile Computing, Web Programming GPA: 3.33 Programming Skills

Languages: C#, C++, Javascript, Java, Python

Graphics: Unity, ARCore, WebVR, WebXR, Threejs, OpenGL, WebGL Front-End: Android, HTML/CSS, XML, JavaFX

Back-End Node.js,Express, Google Compute, Google Cloud Speech, OpenCV, WebRTC, Apache, Postgresql, SQLite Work Experience

Graduate Research Assistant Rochester, NY

Rochester Institute of Technology Sept. 2019 { August 2020

Worked with RIT faculty from multiple disciplines to develop a multi-platform virtual tour guide with speech communication capability.

Part of the panel that discussed the system at Educators in VR.

Worked with Unity, Node.js, Google Cloud APIs, MRTK, WebGL and WebXR etc. Android Developer Mumbai, India

DronaHQ Dec. 2016 { June 2018

Lead a team of Android developers to design and implement the Android app for the company’s DronaHQ platform.

The app enabled remote deployment of content and hybrid web apps to a user’s device.

Worked extensively with Java, Android SDK and Cordova. Software Engineer Mumbai, India

Done Solutions Oct. 2015 { Dec. 2016

Designed and developed client-facing apps multiple restaurants and hotel chains.

Implemented features for customers to browse client menus, nd nearest outlets and place orders.

Gained a good pro ciency in software design patterns Projects

Mixed Reality Theater(Aug. 2019 - Dec. 2019)

Unity, Java, JavaFX, Android

Developed a system which used the Magic Leap for virtual e ects in a real theater performance at the Rochester Fringe Festival 2019. Developed an app for controlling the scenes and cues in multiple Magic Leaps through a mobile application. Published at IEEE VR 2020 Conference. Determination of Authorship(Mar. 2019 - May 2019)

Python, NLTK

Developed a console application for creating decision trees and perceptron models from texts of multiple authors and use the models for predicting author of any given passage Accident Detection in Dashcam Footage(Mar. 2020 - May 2020) Python, Keras

Implemented a Neural Network to predict accident from dash-cam footage, based on work by Chan et al., using Dynamic Spatial Attention (DSA) Recurrent Neural Network (RNN). Developed using Tensor ow and Keras. Pedagogical Aid for Terrain Generation using Delaunay Traingulation(Oct. 2019 - Dec. 2019) HTML, Javascript, Three.js

Created a web based tool for illustrating the process of procedural terrain generation using Delaunay triangulation. Ripple E ect Puzzle Solver(Feb. 2019 - Mar. 2020)

Python

Developed a program for solving Ripple E ect Puzzles using CSF algorithms like Minimum Remaining Value Heuristic and Forward Checking.

2-D and 3-D Graphics Pipelines(Feb. 2019 - May 2019) OpenGL, C++

Implemented graphics rendering pipelines in OpenGL and C++ and acquired a deep understanding of the commonly used graphics algorithms.

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