Dingyi Yu

AI Researcher

San Diego, California, United States0 mo experience

Key Highlights

  • Expert in developing data analysis and ML applications.
  • Strong background in mobile app development with React Native.
  • Experience in building scalable backend systems using Java and Spring.
Stackforce AI infers this person is a Software Engineer with a focus on Agritech and Mobile Application Development.

Contact

Skills

Core Skills

React NativeAndroid SdkGraphqlLarge Language Models (llm)JavaSpring CloudTensorflowPython (programming Language)Web Crawling

Other Skills

FirebaseiOS DevelopmentKotlinTypeScriptMongoDBJavaScriptExpress.jsNode.jsElasticsearchSpring BootAmazon S3DockerReact.jsOracle DatabaseGoogle Earth Engine

About

I am a software engineer specializing in the development of data analysis applications and ML (Machine Learning) applications. I also have experience in developing management systems, Hadoop + Spark data warehouses and knowledge graphs. Additionally, I have a strong interest in the field of computer technology applied to agriculture.

Experience

Amazon web services (aws)

Software Engineer Intern

Jun 2025Sep 2025 · 3 mos · Seattle, Washington, United States · On-site

  • Redesigned ML infrastructure for ASR evaluation by migrating 5000+ model testing artifacts into a new AWS S3 hierarchy and developed unified artifact querying/stream/upload/download service in Java, supporting 60+ scenarios.
  • Enabled parameterized data fetching, increasing new test onboarding efficiency by 15% and reducing code redundancy.
  • Wrote Python & shell scripts to extract index catalog from old S3 and import index to Athena Database for SQL query.
  • Created Lambda function & scripts to sync S3 data to 30+ different regions in 15 mins loop schedule with 0 data loss.

Halıcıoğlu data science institute, uc san diego

Mobile Software Engineer (Part-Time)

Jul 2024Present · 1 yr 8 mos · San Diego, California, United States · On-site

  • Created a Native Android app with XML frontend and reusable widgets to enable users take procrastination treatment.
  • Used Firebase to store users’ data and built 30+ backend activities in Java&Kotlin to support interactive logic; features include user auth, data update, file upload, toggle navigation menu, pop-up window, embedded videos & games, etc.
  • Scheduled weekly meetings with UI team to refine database schemas, software design and app releasing on google store; migrated Native app to React Native in TypeScript to enable cross-platform compatibility (iOS, Android, Web).
Android SDKFirebaseReact NativeiOS Development

Wild genomics

Software Engineer (Part-Time)

Jul 2024Present · 1 yr 8 mos · San Diego, California, United States · Remote

  • Developed 3 React Native apps (iOS/Web/Android), allowing users to access data on farm biodiversity; prototyped dashboard features in Figma and implemented in TypeScript with Jest testing, achieving 21.7% customer growth.
  • Designed and built GraphQL backend in Node.js, empowering bioinfo team to update various analysis results and report files to MongoDB and supporting users to update geographic data like point/polygon for field monitoring.
  • Facilitated weekly meetings with UI team to align progress and hosted app on Apollo Server with AWS Lambda.
TypeScriptMongoDBReact NativeJavaScriptFirebaseExpress.js+2

Ebay

Software Engineer

Jun 2024Sep 2024 · 3 mos · Pudong, Shanghai, China · On-site

  • Led implementation of an async Directed-Acyclic-Graph workflow in Spring Boot, facilitating task reuse and comb.
  • Architected multi-threaded REST endpoints on Llama3 LLM with ThreadPool, achieving 2x growth in user demand identification rate by labeling and summarizing 20000+ comments weekly from Elasticsearch in a map-reduce manner.
  • Developed automatic PoC framework using Java + Docker to monitor tasks performance on efficiency/classification metrics across LLMs, generating analysis graphs/reports using Weka and delivering to product team via SendGrid.
  • Cooperated with AI team to deploy/serve LLMs on vLLM Linux architecture, supporting 100+ concurrent requests.
ElasticsearchLarge Language Models (LLM)JavaSpring Boot

Wiley

Software Engineer

Apr 2024Jun 2024 · 2 mos · Chaoyang District, Beijing, China · On-site

  • Developed Spring Cloud RESTful APIs to read/write 5 new data categories from Oracle and generate OpenAPI reports on source code for 9 microservices weekly, forwarding files to AWS S3 to boost cross-team observability.
  • Realized hourly file type validation and HTML parsing by creating cron jobs; conducted holistic testing for all features from dev/TestNG to prod/Jenkins and built React + MUI frontend to support backend logic, serving 2000+ users.
  • Crafted reusable ES6 modules like dropdown, navigation menus, and request templates in TypeScript using Promise.
  • Devised one-run initialization of Oracle database with 80 tables by crafting a DevOps toolkit using SQL and Docker.
Amazon S3JavaDockerJavaScriptSpring CloudReact.js+2

University of california, davis

Software Engineer

Jul 2023Sep 2023 · 2 mos · Davis, California, United States · On-site

  • Developed 2 climate forecasting and visualization apps (Streamlit + FastAPI backend + Hugging Face/AWS hosting), fetching 3000+ daily records from external APIs; applied EDA and created interactive dashboards with Plotly.
  • Cleaned and data-mined spectral datasets to predict field heath traits; used Scikit-learn for feature selection and simulated 30000+ records via physical models in SciPy; trained an ANN model using TensorFlow/Keras (0.21 MSE).
  • Conceptualized and developed a Field Monitoring app by integrating ANN model and map widgets to process GCP satellite data into field trait heatmap layouts; scheduled weekly meeting with GIS team to align software/AI pipelines.
Google Earth EngineTensorFlowArtificial Neural NetworksPython (Programming Language)StreamlitFastAPI

谷孚咨询 gfic

Data Research Analyst

Oct 2021Feb 2022 · 4 mos · Pudong, Shanghai, China · Remote

  • Researched China's emerging new protein market, assisted in writing industry reports, and conducted related data analysis.
  • Used Python web scraping to collect industry talent information, assisting in the construction of a talent database.
Web CrawlingPython (Programming Language)

Education

UC San Diego

Master of Science - MS — Computer Science

Sep 2024Feb 2026

Peking University

Bachelor of Engineering - BE — Software Engineering

Sep 2022Jul 2024

China Agricultural University

Bachelor of Science - BS — Agronomy and Biology Science

Sep 2018Jun 2022

CIPS - The Chartered Institute of Procurement & Supply

Diploma in Procurement and Supply

Apr 2021Aug 2021

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