Alice Chen

Core Strengths

Microservices Architecture

Led enterprise microservices architecture design and implementation, supporting 10M+ daily requests

High-Concurrency Systems

Built distributed task scheduling framework, achieved 5000+ GitHub Stars from open source community

Cloud Native Migration

Completed smooth migration from monolithic to cloud-native architecture, deployment efficiency improved 10×

Open Source Contributions

Certifications: CKA · AWS SAA · GCP Professional Cloud Architect

Open Source & Patents

OPEN SOURCE PROJECT

CloudFlow - Distributed Task Scheduling Framework

GitHub 5000+ Stars

TECHNICAL PATENT

Stream-based Resource Scheduling Method

CN202310XXXXXX

Tech Stack

Cloud Platforms

AWS, GCP, Alibaba Cloud, Kubernetes, Docker

Backend Development

Go, Java, Python, Rust, Node.js

Microservices

gRPC, GraphQL, REST API, EventMesh, Nacos

Data Storage

PostgreSQL, MySQL, Redis, MongoDB, Elasticsearch

Message Queues

Kafka, RabbitMQ, Pulsar, NATS

Observability

Prometheus, Grafana, Jaeger, ELK Stack, Datadog

CI/CD

GitLab CI, ArgoCD, Flux, Jenkins, GitHub Actions

Frameworks

Spring Boot, FastAPI, Gin, Django, Echo

Personal Projects

ResumeForge - Brand-Grade Resume Generator

Open Source Project | Jan 2025 – Present

Built multi-theme resume generation system from scratch with 58 brand design styles (Apple/Tesla/Stripe/Vercel etc.)
YAML-driven content management, one-click generation of HTML/PDF/DOCX formats, bilingual support
Modular architecture: content-style separation, hot-pluggable themes, extensible brand customization
Tech stack: Python, Jinja2 templating, python-docx, Chrome Headless PDF rendering

Work Experience

StarTech Group

Jun 2022 – Present | Shanghai

Technical Architect · Backend Team Lead

Led core business system architecture evolution, managing 12-person team through cloud-native transformation, supporting 3× business growth.

Cloud Native Architecture Transformation

Decomposed monolithic application into 30+ microservices with Service Mesh architecture
Established GitOps release process, achieved daily iteration capability
System availability improved from 99.5% to 99.99%, recovery time from hours to minutes

High-Concurrency Trading System

Designed distributed transaction solution, supporting 10M+ daily orders
API P99 latency optimized from 800ms to 50ms, peak QPS reached 50,000
Introduced async event-driven architecture, throughput improved 5×

Data Platform Construction

Built real-time data pipeline supporting PB-scale data processing
Introduced ClickHouse columnar storage, query performance improved 100×
Established data quality monitoring system, accuracy reached 99.9%

CloudSpark AI Tech

Mar 2019 – May 2022 | Shenzhen

Senior Backend Engineer

Participated in AI inference platform R&D, responsible for core service design and performance optimization.

AI Inference Service Platform

Designed model service gateway supporting 100+ AI models dynamic scheduling
Implemented inference request load balancing, GPU utilization improved from 40% to 85%
Established model version management and canary release mechanism

Real-time Feature Computation System

Built streaming feature computation engine, latency reduced from seconds to milliseconds
Feature storage using Redis Cluster, supporting billion-scale real-time queries
System supported 10M+ DAU personalized recommendations

InnovSoft Technology

Jul 2017 – Feb 2019 | Beijing

Backend Developer

E-commerce Platform Backend Services

Developed order and payment core modules, supporting 1M+ daily orders
Designed distributed lock solution, resolved inventory overselling issue
Introduced message queue decoupling, system stability improved 30%