- Provide expertise on mobile products that Bitrise supported
- Add new steps for mobile engineers to use on CI
- POC to use bazel build for iOS to improve build times by up to 80%
Sujit Poudel
Mobile Engineering Leader
Team leader
Android Engineer
iOS Engineer
Frontend Engineer
Sujit Poudel
Mobile Engineering Leader
Team leader
Android Engineer
iOS Engineer
Frontend Engineer
Experiences
Mar 2022 - Sept 2022
Mobile Expert (Mobile Engineer)
Bitrise
June 2019 - Mar 2022
Senior Mobile Engineer
Compass
- iOS Work:
Timeline | Project |
Nov 2020 | Distribute all iOS modules are binary to optimize development speed |
Dec 2020 | Improve internal command line tool, Clide, by adding many commands |
Feb 2021 | Make cocoapods work on local development pod as well as binary |
Mar 2021 | Pod releases Make binary |
April 2021 | AB Stable across Xcode and Swift versions |
Jun 2021 | Adopt new Xcode and xcframeworks |
Nov 2021 | Deprecate Cocoapods, use Swift Package Manager |
Dec 2021 | Boot Time improvements and tracking |
Feb 2022 | Clide Project Manager as Dependency management for modular architecture |
Feb 2022 | iOS Foundation app with core components |
- Android Work:
Timeline | Project |
July 2019 | Measuring laginess on iOS listings |
Oct 2019 | Investigate and implement kotlinx-serialization |
Sept 2019 | Replace unit testing framework for Android in favor of idiomatic kotlin unit testing |
Nov 2019 | Kotlin-multiplatform as possible option to code-share between Android and iOS |
Jan 2020 | UI Automation framework for Android |
Dec 2019 | Encryption and Caching for Android |
Feb 2020 | Migrate the Android code to use Jetpack Components (viewmodels, navigation) |
Mar 2020 | Anko to XML conversion |
Apr 2022 - Oct 2022
Senior Software Engineer
SZNS
- Worked on frontend and backend of Ethereum based block-chain NFT tech
- Feasibility study on mobile app for NFT token service
- Add/update endpoints to services
Mar 2020 - Nov 2021
Principal Engineer
Teddy Robotics
- Helping to establish the company with all their software needs
- Architect and build mobile applications (Android and iOS) to teach 6+ years old programming by controlling robots
- Made all software related roadmaps (Android iOS, desktop, firmware), design, architect, and decisions
Dec 2017 - June 2019
Senior Software Engineer
Clarifai
- Joined Clarifai as the only Android Engineer to port Clarifai tech to android powered devices
- Built the Internet of Things/Edge (IoT) SDK for various hardwares like raspberry PI and security cameras with my team
- Designed and created the build system/toolchain and infrastructure for Edge SDK
- Seeded the Android AI SDK project and went on from non-existent to multiple release phases within 7 months period
- Build infrastructure to make Android SDK work with Clarifai AI models
- Built and released Clarity from Clarifai on Play Store
- Setup and built continuous integration with jenkins
Dec 2016 - Dec 2017
Mobile Engineer / Firmware Engineer
Makerbot
- Inherited all sets of USB driver code, along with middleware layers to find and fix problems
- Concurrently held software engineering as well as mobile app engineering positions
- Responsible for full mobile development & maintenance for both iOS and Android
- Learned Objective-C for iOS development very quickly and started adding features in no time
- Inherited large Android and iOS code base, and refactored with modern design principles
- Created testing standards, wrote unit tests, setup CIs and automated testing with Jenkins
- Built critical internal apps related decisions for MakerBot mobile set of apps
Sept 2011 - Aug 2016
AI Researcher
Syracuse University & Louisiana Tech University
- Did the work and presented the work with biometric security at DARPA, and at the Pentagon.
- Identifying users from commercial grade EEG devices and get a neurological based human computer interface
- Breached swipe based authentication using humanoid robot Nao (Published by IEEE BTAS 2015).
- Introduced fNirs as a new modality for biometric authentication (Published by IEEE BTAS 2015).
- Developed & designed plethora machine learning systems in C++, R, and Java.
- Developed machine learning algorithms from scratch for perceptron networks, Random Forrest, and SVM
- Merged mobile technology with Linux server & humanoid robot using 10+ programming platforms.
- Assisted students working on PhD dissertations.
- Designed new scripts for automating large data processing in molecular electronics.
- Improved efficiency of LONI supercluster by 200% by developing and improving scripts (VBScript).
- Simulated quantum charge transport (Atomistix & siesta) applying specialized software packages.
- Applied Atomistix, TransSIESTA (C++), SIESTA (C), VBScript, HPC, Linux Shell, Git, Gitlab, Perl, and Python