Deepak kumar

Software Engineer

Delhi, India8 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Developed top-rated NoiseFit app with 10M+ downloads.
Integrated features for 30+ smartwatches.
Expert in Android development and app functionality.

Stackforce AI infers this person is a Mobile App Developer specializing in Consumer Electronics and Health & Fitness applications.

Contact

Skills

Core Skills

Android DevelopmentJavaNode.js

Other Skills

Adobe IllustratorCC++Cinema 4DData SyncingFirebaseGraph VisualizationsImage ProcessingManagementMicrosoft ExcelMobile App DevelopmentMySQLPayment IntegrationProgrammingReact

About

Graduated with an MCA in Computer Science from bvicam and a Bachelor's degree in Mathematics from Delhi University. Currently contributing as a Software Engineer at Noise, where the team developed the NoiseFit Android app, now a leading application on the Play Store with over 10 million downloads. Core competencies include Android development, Java, and programming, with a focus on app functionality such as data syncing, watch connectivity, and smart notifications. At Noise, collaborated with suppliers to integrate features for over 30 smartwatches, driving seamless user experiences and high app performance. Dedicated to building scalable and user-centric solutions, while motivated by teamwork and innovation that align with organizational goals. Brings a unique perspective shaped by diverse technical challenges and cross-functional collaboration.

Experience

Noise

Sr. Software Engineer - Android

Apr 2021 – Present · 4 yrs 11 mos · Gurugram, Haryana, India · On-site

Noise – India’s No.1 Smartwatch Brand (for the past 4 years)
My Key Responsibilities:
NoiseFit App:-
1. Helped build the NoiseFit Android app from scratch as part of a 2-member team.
2. Today, the app is the #1 free app on the Play Store with 10 million+ downloads and a 99%+ crash-free rate.
3. Worked on major modules like:
a) Data Syncing – to keep health and fitness data updated between watch and app.
b) DIY Watch Faces – allowing users to design and apply their own watch faces.
c) Smart Notifications – managing calls, messages, and app alerts from the phone to the watch.
d) Dynamic Watch Connection – smooth connection for multiple watch types.
e) Watch Connectivity – ensuring stable and quick pairing with various Noise smartwatches.
4. Also created demo versions (POCs) for:
a) Alexa voice assistant integration
b) MapsMyIndia navigation
c) Noise Companion App
Noise Audio App:-
1. Took full responsibility for the Noise Audio App – managed both the mobile app development and its SDK (Software Development Kit).
2. Handled everything from designing features to fixing issues and updates.
Luna App:-
1. Built key features for the Luna app, including:
a) Data syncing with the device
b) Complex graph visualizations to show user health and fitness stats
c) And many other supporting modules
My daily tasks involve communicating with suppliers and integrating new watch features. I have integrated more than 30 NoiseFit watches from over six suppliers into the app.

Android DevelopmentJavaData SyncingSmart NotificationsWatch Connectivity

Gooded technologies private limited

Software Engineer

Jul 2018 – Apr 2021 · 2 yrs 9 mos · New Delhi Area, India

NEETPrep is an online platform that provides coaching for the NEET examination. It aims to deliver the best education to every student, particularly those who cannot afford to pay 3 lakh rupees for offline coaching.
Responsibilities:-
1. Built and managed an Android app from scratch.
2. Developed and managed a Node,js-based product with a React frontend.
3. Created chat groups for live sessions.
4. Integrated the Paytm payment gateway.
Libraries used: Rxjava3, Dagger2, Navigation api, Firebase, Retrofit, Socket

Android DevelopmentNode.jsReactFirebasePayment Integration

Parkzap

Android & Ios intern

Jan 2018 – Jul 2018 · 6 mos · Gurgaon, India · On-site

Parkzap is a platform that allows you to receive parking tickets directly on your phone. With e-tickets, you can seamlessly exit the parking area without having to take out your phone or use cash.
Responsibilities:-
1. Learned how kiosk mode works in Android.
2. Worked on the 'Nearby API' and implemented it.
3. Integrated TensorFlow-based image processing code and figured out how to connect it to a Hikvision camera to get the stream and process the images.
4. Remotely managed Android devices through the Android Management API and reported some Google Play Console bugs related to this.

Android DevelopmentTensorFlowImage Processing