Anuj Potdar

About Me

I am a graduate with a degree of Bachelor of Engineering in Information Technology from the University of Mumbai. I am currently working as an Android Application Developer in Cuddle Artificial Intelligence Pvt. Ltd. which is a part of Fractal Group of Companies.

In my free time I play video games because of which I also developed an interest in Game Development and Augmented Reality. I have shipped one game title of my own and more than 30 AR titles for clients of mine from various parts of the world.

At the moment I have developed and owned two products namely "Come Alive Cards" and "Desi Rider". I take up freelace projects of Android and Web Development which helps me be up to date with latest practices and standards followed in industry.

Skills

Android Development - Android Jetpack Componenets
Java
Kotlin
Unity 3D
nodeJS
HTML
CSS
Bootstrap
DialogFlow

Domains

E-Commerce

Worked as an android developer in e-commerce domain in one of top multi-nationational organizations, Ingram Micro SSC. Worked on various projects ranging from e-store, chatbots and dashboard applications.

Analytics

Currently working as an Engineer in Cuddle Artificial Intelligence Private Limited, which is a part of Fractal Group of Organizations. Fractal is India's second largest Analytics organization.

Augmented Reality

Served more than 30 clients with personalized augmented reality greeting cards under the banner of "Come Alive Cards". A free AR Greeting Card library is available for use and download on the website.

Game Development

Designed and developed a game as my graduation project with team of total 4 people. Have also published a title, "Desi Rider" on the Google Play Store which is played by a diverse set of players.

My Work

Publications

3D Character Generation from Images using Convolutional Neural Networks and 3D-Character Factory.

International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Volume 5, Issue 5, September-October 2019

Face recognition using convolutional neural networks can be utilised for constructing 3D characters from a photograph or from a live person. By using convolutional neural networks human attributes like the color of the eyes, skin tone, hair color, presence or absence of facial hair, body type and so on can be identified and provided as a response to a 3D-Character in a game engine like Unity3D using factory pattern approach to make the 3D Character look like the subject.

Digital Game-Based Learning (DGBL): Design and Development of an Educational Game Design of Digital Games as Pedagogical Tools

International Journal of Research and Analytical Reviews
Special Issue, May 2019

Digital game-based learning (DGBL) assimilates educational content into video games with the goal of engaging learners. This paper examines the limitations of the educational system towards the accomplishment of learning goals and emphasizes the need of a tool that engages and educates the learner. It describes the game design model and aims to measure its efficacy and effectiveness in achieving its goals in terms of the enthusiasm and active participation the players feel during gameplay, as well as the post-gameplay satisfaction with newly acquired knowledge and skills. This model based on flow theory and game design, stresses the importance of providing the player with immediate feedback, clear objectives and challenges. This paper will introduce the concept of such a game and the various learning processes that take place during each phase. The flow theory framework is used in order to maximize the impact of player’s experience.