Sean LL
@seanll
I build production agentic AI systems that automate high-volume business workflows.
United StatesWhat I'm looking for
At Ramp, I architected a multi-agent accounts-payable system that automated 73% of manual review across 50K+ invoices monthly, and built a finance copilot serving sub-800ms p95 answers to 200K+ business users. I also created secure MCP integrations and an evaluation harness that caught 90%+ of regressions before release.
Previously at Rippling, I delivered document intelligence, payroll decisioning, and RAG support products, including a model that prevented an estimated $4M+ in annual payroll errors. Across Crocs, DroneDeploy, and Airbnb, I built high-scale web, commerce, mapping, search, and booking experiences.
Experience
Work history, roles, and key accomplishments
Architected a production multi-agent accounts-payable system using LangGraph and LLMs, automating 73% of manual AP review across 50K+ invoices per month. Engineered an MCP tool layer and a RAG-based finance copilot serving 200K+ business users.
Developed a document-understanding pipeline automating 80% of onboarding data entry and a payroll-anomaly model with 0.91 precision. Shipped a RAG-based HR assistant deflecting 62% of tier-1 support tickets.
Rearchitected the Crocs.com product-detail and checkout experience, slashing load time by 47% and increasing mobile conversion by 18%. Integrated real-time recommendations and hardened checkout reliability.
Pioneered an interactive WebGL map viewer rendering gigapixel orthomosaics and 3D terrain models. Delivered an imagery-processing dashboard and modeled a REST/GraphQL survey-data API.
Launched listing-page and search-results features supporting millions of nightly searches. Reduced search-results load time by 38% and increased booking conversion by 9% through A/B testing.
Education
Degrees, certifications, and relevant coursework
University of California, San Diego
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science from the University of California, San Diego.
Tech stack
Software and tools used professionally
Kubernetes
MySQL
PostgreSQL
Memcached
Node.js
Spring Boot
Ruby on Rails
Next.js
three.js
Redis
Terraform
WebGL
Webpack
JavaScript
Java
JSON
PyTorch
scikit-learn
Mapbox
FastAPI
OpenTelemetry
Datadog
GraphQL
Elasticsearch
AWS Lambda
pytest
OAuth2
Airflow
GuardRails
QuickBooks
Braintree
NetSuite
SQL
XGBoost
Hugging Face
Temporal
LangChain
LlamaIndex
Pydantic
Pinecone
Feast
vLLM
Harness
Guardrails AI
Scale AI
pgvector
Agentic
LangGraph
LangSmith
Model Context Protocol (MCP)
Fragment
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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