Xinpeng Cheng
@xinpeng
Staff Software Engineer and AI Architect building scalable, cloud-native AI platforms and developer productivity tools.
What I'm looking for
I am a Staff Software Engineer and AI Architect with 10+ years designing and scaling cloud-native platforms across AI, FinTech, healthcare, and retail automation. I blend full-stack engineering with AI to deliver production-grade systems that improve developer productivity and customer experiences.
At enterprise scale, I have led re-architectures, serverless migrations, and multi-agent LLM systems that cut deployment time, reduced manual effort, and achieved high availability. I have a proven track record building high-throughput APIs, observability, and IaC to support millions of daily transactions.
My work has driven large impact: reducing campaign deployment time by 85%, saving millions of developer hours through AI assistants, and improving conversion and engagement through AI-first commerce features. I emphasize reliability, security, and measurable outcomes in every program I lead.
Technically, I am proficient in Python, Go, Java, JavaScript/TypeScript, cloud platforms (AWS, Azure), Kubernetes, LangChain/LangGraph, vector search (Pinecone, OpenSearch, FAISS), and a broad ML/infra ecosystem. I enjoy mentoring teams and shaping roadmaps that align technical excellence with business value.
Experience
Work history, roles, and key accomplishments
Led re-architecture of Walmart’s AI-powered commerce and developer platforms, converting monolithic workflows to event-driven serverless microservices that reduced campaign deployment time by 85% and supported 20M+ daily transactions with <50 ms latency.
Contributed to PayPal’s Project Apollo and Paved Road initiatives by designing cloud-native GraphQL supergraphs and automation templates, improving query performance ~40% and reducing provisioning time from days to minutes.
Full Stack Lead Engineer
Uber
Jul 2020 - Jun 2023 (2 years 11 months)
Led platform modernization and ML infrastructure evolution, integrating generative AI into Michelangelo and advancing deployment automation that improved ML-to-production velocity by ~40% and reduced cluster underutilization by 18%.
Full-Stack Engineer
Flatiron Health
Sep 2018 - Jun 2020 (1 year 9 months)
Built cloud-native oncology EHR services and a clinical trial matching engine using FHIR-compliant microservices, reducing report generation times by 28% and improving clinician decision efficiency by ~18%.
Developed a real-time logistics monitoring dashboard and predictive maintenance prototypes, improving tracking efficiency by 15% and reducing environment setup time by ~90% through CI/CD automation.
Education
Degrees, certifications, and relevant coursework
University of Southern California
Master of Science, Computer Science
2016 - 2018
Completed a Master of Science in Computer Science, focusing on advanced software engineering and AI-related coursework.
University of Southern California
Bachelor of Science, Computer Science
2012 - 2016
Earned a Bachelor of Science in Computer Science with foundational training in algorithms, systems, and software development.
Tech stack
Software and tools used professionally
Google Tag Manager
Postman
Splunk
Apache Spark
D3.js
AWS IAM
GitHub
GitLab
Bitbucket
SonarQube
Kubernetes
Jenkins
CircleCI
Travis CI
GitHub Actions
React Native
RIBs
NumPy
Pandas
Dask
dbt
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
InfluxDB
Gmail
Rollout
Node.js
Django
Laravel
Spring Boot
.NET Core
Ruby on Rails
Next.js
.NET
Fusion.js
three.js
Google Analytics
Figma
Okta
OpenCV
Redis
Terraform
Jira
Bazel
React
Vue.js
WebGL
JavaScript
Python
HTML5
Java
CSS 3
PHP
Kotlin
AWS Device Farm
TensorFlow
PyTorch
MLflow
scikit-learn
Tensorflow Lite
AutoGluon
Kafka
RabbitMQ
FastAPI
fastlane
Amazon SNS
SwiftUI
PagerDuty
Grafana
Prometheus
OpenTelemetry
OpenStack
iOS
PayPal
Datadog
Apollo
React Native Firebase
Trello
Aha!
Gemini
GraphQL
Firebase
gRPC
Elasticsearch
OpenSearch
AWS Lambda
Serverless
Azure Functions
TypeScript
pytest
Auth0
Keycloak
OAuth2
Docker
Bandwidth
Airflow
Kepler.gl
GuardRails
Service Layers
SQL
ARKit
ARCore
TeamCity
XGBoost
SciPy
Hugging Face
LightGBM
Jetpack
LangChain
Pinecone
CrewAI
OpenAI API
ArgoCD
Stable Diffusion
Terragrunt
Evidence
Trunk
Black
Bash
Deck.gl
Transform
Agentic
Modal
Enhance
Faiss
LangGraph
OpenDevin
Dynamic
Farm
Task
Availability
Location
Authorized to work in
Job categories
Skills
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