Deep Modi - Software Developer

Hi, I am Deep Modi
Android Developer

Dedicated Native Android App Developer with a track record of 1.8+ years in the field. My expertise lies in crafting seamless mobile experiences that blend functionality with elegance. Beyond app development, I am deeply engrossed in the realms of Machine Learning, and Data Science. I'm fascinated by the endless possibilities they offer in shaping our digital landscape.

Feel free to explore my resume and reach out to connect. I'm excited to exchange ideas and explore potential collaborations!

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About Me

🎓 I graduated with a B.Tech in Computer Science & Engineering from Charotar University of Science and Technology, with a CGPA of 8.92.

🤖 I am deeply passionate about Machine Learning and Data Science, and I enjoy exploring new algorithms, techniques, and applications in this field.

📚 I also have a keen interest in teaching and educating people about programming and technology. I find joy in sharing my knowledge and helping others learn.

🎵 Outside of coding, I'm passionate about music and enjoy listening to a variety of genres.

📖 In my free time, I indulge in reading self-help books. They provide me with valuable insights and inspiration to continuously grow and improve in both my personal and professional life.

💻 As (Piyush Modi on play store), I develop apps for the Android platform. Being self-taught, I've honed my skills through practical experience and a love for creating innovative solutions.

🏆 I've been recognized as the Employee of the Month at VasyERP and received yearly awards for best performance.

Languages:

Java

Intermediate

Kotlin

Intermediate

C++

Beginner

Python

Intermediate

HTML

Beginner

CSS

Beginner

JavaScript

Beginner

Technologies / Framework:

Android

Advanced

Spring Boot

Beginner

Django

Beginner

Databases:

Firebase

Intermediate

SQL

Intermediate

PostgreSQL

Beginner

Tools:

GitHub

Intermediate

Firebase

Intermediate

Postman

Intermediate

Adobe XD

Intermediate

Other:

Team Management

Team Leadership

UI/UX Design

Experiences

Full Time : Android Developer

VasyERP Solutions Pvt. Ltd. (Acquired by Reliance Industries)

As a full-time Android Developer, I led a team of 4 members, overseeing core app logic/functionality development and task distribution. I actively engaged with project managers and Business Analysts (BAs) to discuss feature releases and estimation timelines.

Jun 2022 - Present

Intern : Android Developer

VasyERP Solutions Pvt. Ltd. (Acquired by Reliance Industries)

As an Android Developer intern at VasyERP, I launched over 20 applications on the Play Store, catering to diverse clients across government and private sectors, thereby enhancing our service-based model.

Dec 2021 - May 2022 (6 Months)

Intern : Computer Vision

KadiBuddy Pvt Ltd

Engaged in training various deep learning models for image classification and subsequently developed prototype applications to demonstrate their functionality.

Jun 2021 - Jul 2021 (2 Months)

Intern : Android Developer

Prismetric Technologies Pvt Ltd

Worked on an app called BitsSplit (Daily Expense management App). Developed backend using the slim framework and android app using java.

May 2020 - Jun 2020 (2 Months)

Projects

Shradhanjali photo frame App

It is a tribute card maker application that allows users to create condolence cards. The app includes features such as a gallery section to manage created images, a user-friendly UI, and various frames and props to personalize cards.

View on Play Store

CCC: Crowd Counting Challenge

The Crowd Counting Challenge refers to a competition or research effort focused on developing algorithms that can accurately estimate the number of people in crowded scenes.

Applications:
Public spaces: Train stations, concert venues, city streets
Security footage: Airports, shopping malls, government buildings
Natural disasters: Evacuation zones, refugee camps

View Project (GitHub) Project Video

Fruits & Vegetables Classifier

The main aim of this project is to train the different classification models using deep learning algorithms and architectures. Then deploy these models on the cloud and create the backend API for the same. And for testing purposes create the android application and integrate it with the backend API so that we can test the trained models. Developing such kind of system increase the efficiency of the product listing and reduces the timing and error rate.

Project Video

Bitssplit: Expense Splitting App.

Track expenses effortlessly, split costs seamlessly, and stay organized on-the-go. With smart features and a user-friendly interface, managing expenses with friends and family has never been easier. Download now and simplify your finances! 📱💰

Project Video