Mickey Liu
@mickeyliu
Senior software engineer specializing in scalable AI platforms, distributed systems, and cloud-native services that automate workflows.
What I'm looking for
I’m a Senior Software Engineer with 10+ years of experience building scalable AI platforms and cloud systems across fintech, enterprise SaaS, and social media. I focus on turning complex AI workflows into reliable, production-ready systems.
At Notion, I helped build autonomous AI agent infrastructure for multi-step task execution across documents, databases, and integrations. I implemented multi-LLM pipelines (GPT-4, Claude 3, Gemini), routing work for research, summarization, and workflow automation—reducing manual effort by ~25%.
I design RAG pipelines that combine vector search (FAISS/pgvector) with workspace knowledge retrieval, powering document Q&A and contextual meeting summarization. I also build backend services in Python and Golang plus TypeScript/Node.js APIs, and I deploy pipelines on AWS using EC2, S3, and RDS.
Earlier, I built LLM orchestration for AI recruiting agents, and I contributed to Twitter Spaces’ backend infrastructure for real-time audio at massive scale. I bring strong distributed systems and observability practices to every stack—so the systems perform under load and stay maintainable.
Experience
Work history, roles, and key accomplishments
Contributed to building autonomous AI agent infrastructure for multi-step task execution across Notion documents, databases, and integrations. Implemented multi-LLM execution pipelines (GPT-4, Claude 3, Gemini) and RAG using FAISS/pgvector, reducing manual effort by ~25% and improving answer accuracy by ~30%.
Senior Software Engineer
Moonhub
Jan 2023 - Jan 2024 (1 year)
Built multi-LLM orchestration pipelines for AI recruiting agents integrating GPT-4, Claude 3, and Gemini to automate candidate research, summarization, outreach drafting, and hiring workflows. Developed LLM-powered candidate intelligence and RAG features, improving sourcing efficiency by ~35% and response accuracy by ~30%.
Contributed to backend infrastructure powering Twitter Spaces with real-time audio conversations across millions of concurrent users. Designed distributed services (Scala/Java/Python), optimized streaming pipelines with Kafka and Redis (reducing message latency by ~30%), and implemented live speech-to-text using ASR models (Wav2Vec2 and Conformer).
Developed enterprise finance dashboards for AI-flagged expense report review, audit results, and invoice processing workflows. Built performant React/TypeScript UI with Redux and deployed event-driven AWS processing services, reducing manual finance review by ~40%.
Education
Degrees, certifications, and relevant coursework
Santa Clara University
Master’s Degree, Engineering/Industrial Management
2016 - 2017
Earned a master’s degree in Engineering/Industrial Management at Santa Clara University from 2016 to 2017.
New York University
Bachelor’s Degree of Computer Science, Computer Science
2009 - 2013
Earned a bachelor’s degree in Computer Science at New York University from 2009 to 2013.
Tech stack
Software and tools used professionally
JDA
Amazon EC2
Amazon S3
GitHub
GitLab
Kubernetes
GitHub Actions
Shopify
Gmail
Node.js
Spring Boot
Next.js
Tailwind CSS
Material-UI
Web Components
Lightning Web Components
Neo4j
Redis
Terraform
Vue.js
Webpack
JavaScript
Java
HAProxy
TensorFlow
PyTorch
Kafka
Prometheus
Linux
Windows
Datadog
Gemini
AWS Lambda
Amazon RDS
Webflow
JUnit
Amazon Web Services (AWS)
SQL
Google Kubernetes Engine
LangChain
Cursor
GitHub Copilot
Scale AI
pgvector
Faiss
Task
Remote
Availability
Location
Authorized to work in
Job categories
Skills
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