Hi, I am Deep Modi
Software Engineer
Dedicated Software Engineer and Native Android App Developer with over 2 years of industry experience delivering high-performance mobile solutions.
Building on a strong foundation in end-to-end app development, I am now deeply focused on Machine Learning, Deep Learning, and Natural Language Processing—leveraging cutting-edge models to solve real-world challenges and elevate user experiences.
Feel free to explore my resume and reach out—I am always eager to exchange ideas and explore new collaborations!
About Me
I am currently pursuing my M.Tech degree in Computer Science & Engineering from Vellore Institute of Technology, Vellore, Tamil Nadu. (2024-2026)
I graduated with a B.Tech in Computer Science & Engineering from Charotar University of Science and Technology with a CGPA of 8.92. (2018-2022)
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 people about programming and technology. I find joy in sharing my knowledge and helping others learn.
Outside of coding, I am 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 the Play Store, I develop apps for the Android platform. Being self-taught, I have honed my skills through practical experience and a love for creating innovative solutions.
I have been recognized as the Employee of the Month at VasyERP and received yearly awards for best performance.
Recommendation:
"Deep Modi is one of the finest Android developers I've ever worked with. Despite being a fresher, he approaches every solution with an architect's mindset, ensuring scalability, efficiency, and clarity in his designs. His creativity and 'change-the-world' attitude set him apart, yet he remains remarkably humble and grounded. Deep is a rare talent, and any team would be fortunate to have him on board!"
— Janam Soni, AVP - Technology | Solution Architect | SaaS & Cloud Expert
Skills
Languages:
Java
Intermediate
Kotlin
Intermediate
C++
Beginner
Python
Intermediate
HTML
Beginner
CSS
Beginner
JavaScript
Beginner
Technologies / Framework:
Android
Advanced
Spring Boot
Beginner
Django
Beginner
PyTorch
Beginner
Databases:
Firebase
Intermediate
SQLPLUS
Intermediate
PostgreSQL
Beginner
Tools:
GitHub
Intermediate
Firebase
Intermediate
Postman
Intermediate
MlFlow
Beginner
PySpark
Beginner
Other:
Team Management
Team Leadership
UI/UX Design
Experiences
I am currently working as a System Architecture Intern at Nokia in Chennai, Tamil Nadu (On-site), contributing to system design and architecture initiatives.
Aug 2025 - Present (3 Months)
As a full-time Android Developer, I led a team of 4 members, overseeing core app logic and functionality development as well as task distribution. I actively engaged with project managers and Business Analysts (BAs) to discuss feature releases and estimation timelines.
Jun 2022 - July 2023 (1 Year 1 month)
As an Android Developer intern at VasyERP, I successfully 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)
I was 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)
I worked on an app called BitsSplit (Daily Expense Management App). I developed the backend using the Slim framework and the Android app using Java.
May 2020 - Jun 2020 (2 Months)
Projects
A tribute card maker application that allows users to create personalized 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 customize cards.
View on Play Store
The Crowd Counting Challenge is a competition and 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
The main aim of this project was to train different classification models using deep learning algorithms and architectures, then deploy these models on the cloud and create the backend API. For testing purposes, I created an Android application and integrated it with the backend API to test the trained models. Developing such a system increases the efficiency of product listing and reduces both time and error rates.
Project Video
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. Simplify your finances with this intuitive app!
Project Video