MATTHEU LEE
Senior AI Enginner
*****.***.***@*******.*** North Las Vegas, NV, United States https://zingy-faloodeh- c2906d.netlify.app/
SUMMARY Senior engineer with 10+ years building ML/AI platforms, high-throughput microservices, and cloud-native systems across fintech, prop-tech, and analytics. Hands-on with Python/FastAPI, Golang, C++, and production ML (LLMs, RAG, fine- tuning, MLflow/KServe). Scales data pipelines on AWS/Azure/GCP, automates with Terraform/Kubernetes, and embeds security, observability, and CI/CD from day one. Bridges research and product to deliver measurable reliability, latency, and cost wins. WORK
EXPERIENCES
Senior Software Engineer - PayPal Mar 2020 – Aug 2025 Remote
Modernized legacy systems into cloud-native microservices (Python/FastAPI, Golang) with gRPC, CQRS, and event-driven workflows for high-availability data APIs.
Built internal tools and admin apps with FastAPI + Jinja2 + SQLAlchemy, backed by PostgreSQL/Redis for auditing, caching, and time-series tracking.
Offloaded heavy jobs via Celery + RabbitMQ (doc conversion, webhooks), improving p95 latency and protecting request paths.
Automated multi-tenant infra using Terraform/Pulumi across Azure + AWS (AKS, RDS, SQS, Blob/Key Vault), enabling repeatable, isolated environments.
Engineered near-real-time ETL (Kafka, Debezium, Beam) into PostgreSQL/MongoDB/Snowflake for hybrid OLTP/OLAP analytics.
Implemented API gateways and BFF layers (GraphQL + REST) with Redis caching and NGINX; cut aggregate response times on read-heavy views.
Delivered a vector-enabled search stack (Elasticsearch/OpenSearch + Azure Cognitive Search) with advanced filters and vector indexing.
Shipped multi-tenant LLM features (RAG with Weaviate, Azure OpenAI) for summarization/form generation; hardened safety and tenancy boundaries.
Introduced RBAC/JWT via Keycloak + OPA, aligning with SOC 2 / FedRAMP controls; standardized policies and audits
Senior Software Engineer - AppFolio Feb 2018 – Jan 2020 Remote
Re-architected billing/leasing backends in Golang + gRPC + MySQL; added EventStoreDB and saga orchestration for multi-ledger flows.
Built ML models for vacancy/churn/pricing using scikit-learn/XGBoost/pandas; deployed on AWS (Docker on EC2) with scheduled retraining.
Designed Kafka + Glue + Parquet ingestion to Redshift/S3, unlocking near-real- time portfolio analytics.
Adopted SQS/SNS/Step Functions with retries and DLQs; implemented blue-green deploys on ECS Fargate.
Created a Redis-backed feature flag system for progressive rollout and model gating.
Served async inference via Flask/Uvicorn; built secure file vaults (KMS, Macie) and a Django CMS for metadata/role workflows.
Partnered with FE teams (TypeScript/React) to embed ML insights into dashboards and mobile surfaces.
Software Engineer - ThoughtSpot Jan 2017 – Jan 2018 Remote
Migrated batch analytics to semi-streaming Airflow + Kafka Connect + Lambda, improving data recency.
Modeled donor/campaign graphs across PostgreSQL, ClickHouse, Neo4j for fraud/relationship insights.
Shipped NLP for document classification/topic modeling (spaCy/Gensim/scikit- learn) with pre-BERT embeddings.
Deployed containerized services (ECS Fargate), introducing Secrets Manager/Vault for rotation.
Software Developer - Uniphore Jan 2013 – Dec 2016 Remote
Implemented simulation/gameplay features in C++/C#/Python using Bohemia’s Real Virtuality engine (physics, ballistics, AI behaviors).
Built AI using behavior trees/finite state machines; added A* pathfinding for complex environments.
Delivered browser-based internal admin tools with Flask + SQLite for QA scenario control/telemetry.
Software Developer - Palantir Technologies Jun 2009 – Dec 2012 Various
Contributed customer-facing web features, bug fixes, and data import/validation tasks.
Assisted with deploys/troubleshooting and small reliability wins under senior mentorship..
EDUCATION Stanford University - M.S., Artificial Intelligence (2024–2025) Focus: Distributed systems, scalable ML architectures, LLM deployment/orchestration on Kubernetes; real-time monitoring via Prometheus/Grafana and metadata tagging. Stanford University - B.S., Artificial Intelligence (2005–2009) Coursework: DS&A, OS, Networks, Databases, AI, Graphics, Software Engineering KEY SKILLS Languages: Python, Golang, C/C++, Java, C#, JavaScript/Node.js, SQL, Bash Back End & APIs: FastAPI, Flask, Django/DRF, aiohttp, gRPC, GraphQL, REST, WebSockets, BFF, CQRS, DDD, Serverless
Data & Messaging: PostgreSQL, MySQL, MongoDB, Redis, ClickHouse, Neo4j, Snowflake, Elasticsearch/OpenSearch, Kafka, RabbitMQ, SQS/SNS ML/AI: PyTorch, TensorFlow, scikit-learn, Transformers/Hugging Face, LangChain, RAG, ONNX, MLflow, KServe, Ray Serve, W&B, ClearML, Feature Stores (Feast) Cloud & DevOps: AWS (EC2, S3, RDS, Lambda, Step Functions), Azure (AKS, Service Bus, Key Vault, Cognitive Services, Azure ML), GCP (Vertex AI) • Docker, Kubernetes, Terraform, Pulumi, Argo CD, GitHub Actions Security/Compliance: OAuth2/OIDC, JWT, RBAC, Keycloak, OPA, Vault/KMS, SOC 2, FedRAMP
Quality & Observability: pytest, httpx, Testcontainers, Pact, k6 • OpenTelemetry, Prometheus, Grafana, Datadog, New Relic
CERTIFICATIO
NS
AWS Certified Developer – Associate
(DVA-C02) -Amazon Web Services -
2025 -Credential ID/URL (optional)
Microsoft Certified: Azure AI Engineer
Associate (AI-102) -Microsoft -2024
CKAD (Certified Kubernetes Application
Developer) -CNCF -2024
HashiCorp Terraform Associate (003) -
HashiCorp -2024