Aug 2023 – May 2025 · 1 yr 9 mos

Jul 2022 – May 2025 · 2 yrs 10 mos

• Implemented new features on the app such as QR Theme editor, complex UI payment flows, Digio Aadaar KYC, server driven dynamic home cards.
• Worked on many of the bugs related to SwiftUI/UIKit
• Mentored new mobile developers on to the team and helped with all their doubts and nitty gritty's of the code base.
• Improved the app performance by 50% since inception, and also worked on making the code base more modular.
• Worked on all new features/changes required on the app by NPCI
• Worked on improving payments via RazorPay SDK
• Worked with Introspect, SwiftUIX, UIKit, Objective C, Firebase version related issues by going in depth of the frameworks.
• Was the go to person for the entire mobile team, regarding may of the issues and decision making.

Oct 2021 – Jun 2022 · 8 mos

• India’s first numberless card and payments app for teenagers and their families.
• We are growing fast with 3M+ users and are lucky to have received a massive series A funding of $38M+
• Working on FamPay iOS Application.

Apr 2020 – Aug 2020 · 4 mos

• Built Calendar framework
• Optimized the app to remove memory leaks.
• Refactored the app to be more reliable and MVC friendly. Also testing out other design
• patterns such as VIPER, Clean Swift VIP, MVVC, etc.
• Responsible for developing new features, from back-end logic to UI/UX.
• Native iOS application for the Agora Web application.
• Conduct democratic elections using multiple algorithms.
• Technical: Graphql, Objective-C, Facebook SDK, SwiftUI + UIKit, MVVM, MVC, Realm NoSQL databases + Unit Tests

Jan 2020 – Mar 2020 · 2 mos · New Delhi, Delhi

• Used cryptographic libraries to read/write seed in Java cards through the mobile app.
• Generate seed phrase from user mnemonic or generated 12-24 word mnemonic.
• Led the mobile team and helped with the product webpage which drove over 1000 in sales
• Used a new Apple NFC library without any help on how to use and interact with the custom java cards.
• Gained experience using Swift, Java, Javascript, HTML/CSS, and Bootstrap while utilizing various Google Cloud Platform APIs, including App Engine and Datastore.

Oct 2019 – Feb 2020 · 4 mos · New Delhi Area, India

• Research on IoT exploits and using Machine Learning to detect security flaws in IoT devices.

Oct 2019 – Oct 2019 · 0 mo · Greater Boston Area

• “Healthy.Ly”, Android app that uses Artificial Intelligence and Machine Learning to detect if a
• particular food is allergic to you.
• “Healthy.Ly” is an android app that uses Artificial Intelligence and Machine Learning to detect if a given food is allergic to you. It can also show you the nutritional values, its recipe and syncs with your Google FIT to show you the net amount of calories consumed vs. burnt.
• We developed a deep learning model using Tensorflow that can classify between 101 different food items. We trained it using the Google Compute Engine with 2vCPUs, 7.5 GB RAM and 2 Tesla K80 GPU. This model can classify 101 food items with over 70% accuracy.
• Our team was awarded in the category of "Most Mainstream Hack”

Sep 2019 – Feb 2020 · 5 mos · Remote

Jan 2019 – Sep 2019 · 8 mos

• Diagnosed issues with GUI, rendering, increased productivity by 10% fixing the search & replace the functionality of the game engine editor.

Oct 2017 – Dec 2017 · 2 mos · New Delhi Area, India

Jul 2017 – Jul 2017 · 0 mo · New Delhi Area, India

Apr 2017 – May 2017 · 1 mo

• Produced a device to measure CO2, NO, NO2, CO and PM2.5 levels in the local atmosphere around the device using several gas sensors and PM2.5 Sensor data was processed with a RaspberryPi to print corresponding levels on an LCD screen included an inbuilt fan to circulate air in the device.

Aug 2016 – Aug 2017 · 1 yr · New Delhi Area, India

Jul 2016 – Jul 2016 · 0 mo · New Delhi Area, India

Jul 2016 – Jul 2016 · 0 mo

• Converted resistance offered by soil and converting the analog to a digital signal with Arduino using the information to display moisture content of the soil on an inbuilt LCD screen which can also be calibrated.

May 2016 – Jul 2016 · 2 mos

Jan 2014 – Jan 2015 · 1 yr

• Worked on personal Visual Basic projects
• Web Browser
• CD key generators
• Cheat Engines