ios engineer

JING DONG

So ware Engineer LA, CA ********@****.*******.*** 661-***-****

Portfolio: h p://jingapps.cargo.site Creative Coding: iOS Development Engineer 2015-2017

Suning R&D Center ( Global 500 )

iOS Engineer Amazon Fashion 2021 - 2023

Shopbop iOS App

Developed and delivered Image Gallery, Video Player, Clean Beauty, Fast refund, Global banner features Built Shopbop NativeUIKit Frameworks using Swi and MVC, MVVM architectures Implemented and improved remote weblab and local debug tool Developed personalized push notification, LEGO driven gobal banner and dynamic slider scale Implemented data metrics using Adobe Analytics and Amazon click streaming techniques. Unit test, Integration Test, UITest, Weblab A/B testing and external testing. Worked on notification back-end API design and implementation using Java, AWS EC2, OpenAPI, CICD pipeline. Amazon

SKILLS

MFA Art and Technology GPA 3.9

BS. Computer Science and Technology

California Institute of the Arts 2019-2021

Beijing Union University

EDUCATION

Strong programming skills in both Python, Swi

Tool: XCode, Pycharm, AWS, Claude, TensorFlow, MCP, SKILL AI / LLM, OpenAI, Claude API, GPT4, Agent Workflows, RAG Multi-Agent Systems, Evaluation Pipelines, Vector Databases Python, Flask, Jinja, AWS, EC2, Fast API, Node.js, Docker CD, A/B Test, Unit Test, UI Test

Mobile Swi Swi UI UIKit AVFoundation

Red Baby App

1. Worked on Object-C to create Mobile applications in IOS. 2. Developed index, checkout, shopping cart, personal information module. 4. Involved in testing the application through TestFlight app 3. Worked with Restful API Post/Get supported the integration of h p2.0 and h ps 5, Worded with cocoapods and GIT.

Suning shopkeeper App

2, Implemented necessary classes and tools .

1, Se ing up the MVC & MVVM application and architecture. 3. Used Grand Central Dispatch (GCD) for background tasks. 4, Used Charles Proxy for web debugging proxy, postman for testing API. 4. Work on bug fixes, app optimization, and feature enhancements. FanFan App

Fan App is an B2B e-commercial platform in which people buy and sell a wide variety of goods and services. 1, Implemented A/B tests, feature toggles, event tracking, and script packaging. 2, Implemented user authentication, product detail, shopping cart, checkout, commodity publishing module. 3, Developed image and video a er processing using Core Graphic, AVFoundation 4, Added multi threaded programming and performance optimization. 5, Test applications for memory leaks, debug crash logs, etc. ACTIVITIES AWARDS

CREATIVITY

Lillian Disney Scholarship $30,000

Annual Outstanding Staff at Suning R&D

Grants from Dean of Art School

Ars Electronica Festival 2021 + 2022

MIT XR Hackathon

Digital Future

Coaxialarts Group Show Los Angeles

LA Japanese American Cultural & CommunityExhibition Amazon Voice Interactive Design workshop

Coaxialarts Art + Technology Exhibition

Apple WWDC online

Google Magenta AI music workshop

International Conference of UX design

iOS Engineer II 2023

Masimo

Replica

Created and deployed SpO2 / ECG / O3 health streaming data waveforms. Implemented trends, device channels, data timelines, alarms events. Integrated authentication and implemented socket based notification framework. Developed Masimo UI framework, CommunicationKit, SafetyNetworkKit, Core Model So ware Engineer 2025 - Now

META

Instagram

Led the design, implementation, and launch of AI powered caption and comment for short-form video ads experiences at global scale. Designed and implemented ranking-driven content surfacing infrastructure, including mid scene CTA headline, widgets ranked comment discovery, profile card, and link preview experiences. Owned the full product lifecycle from technical design and implementation to dogfooding, experimentation, public testing, launch planning, and production rollout.

Architected client-side AI execution pipelines involving task planning, memory management, implementation workflows, and agent orchestration systems.

Partnered across product, ML, and infrastructure teams to launch AI features at global scale, serving billions of monthly active users, resulting in a 4% EBR improvement.

Developed internal AI productivity tools "second-brain" to improve team collaboration, knowledge management Founder of inno art tech studio

CERTIFICATES

Amazon AWS Machine learning

Amazon AI/ML/DL

www.techjing.art/ innoStudio: www.jingar ech.com/ Founding So ware Enginner 2023 - Now

inno art&tech studio

Enlumora - Wellness app for tracking and understanding personal energy pa erns over time Hearing spac e - AI-driven sound meditation app leveraging on device ML models to deliver personalized listening experiences. Built production multimodal AI systems combining OpenAI LLMs, image generation models, and structured workflows. Developed agentic workflows for content generation, reflection, personalization, and task automation Implemented RAG pipelines using vector databases and semantic search to provide context-aware responses. Designed memory-aware AI systems with persistent user context, retrieval mechanisms, and personalized experiences Built and deployed cloud-native backend infrastructure using Python, FastAPI, Flask, AWS, and RESTful APIs. Led product development from concept to production, and App Store releases. SoulArts - AI-powered art therapy app that turns creative expression into guided emotional reflecion

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