Joao Paulo Oliveira Santos

About Joao Paulo Oliveira Santos

I build intelligent systems that process billions of events and make real-time decisions at scale.With 10+ years of engineering experience, I specialize in designing AI-augmented platforms, high-throughput data pipelines, and production-grade systems that serve millions. My work sits at the intersection of AI/ML engineering and distributed systems — building the infrastructure that makes intelligent automation possible.WHAT I\'VE BUILT AT SCALE→ AI-Powered Security Platform: Engineered real-time threat detection systems processing 1.5M+ daily security events with automated anomaly detection and response at Keeper Security, serving 100K+ enterprise organizations.→ Real-Time Decision Engine: Designed credit risk pipeline processing 500M+ monthly assessments with sub-100ms P99 latency, combining ML-driven scoring with event-driven microservices architecture.→ High-Throughput Financial Infrastructure: Built payment systems handling 5B+ monthly transactions (6-8K TPS peak) with 99.98% uptime — the kind of reliability AI systems demand.→ Production Mobile & Web Apps: Shipped React Native apps to 100K+ users and React platforms used by 50K+ developers — end-to-end product delivery.TECH STACKAI/ML: LangChain, NumPy, Python ML ecosystem, Claude API, OpenAI API, LLM orchestration, RAG pipelinesBackend: Python, Java (Spring Boot), Go, Node.js (TypeScript), FastAPI, Django, FlaskCloud & Infra: AWS (EKS, Lambda, Kinesis, SageMaker), Azure, Kubernetes, Docker, Terraform, ServerlessData: PostgreSQL, MongoDB, Redis, Cassandra, Apache Kafka, RabbitMQ, Real-time streamingFrontend: React, TypeScript, Next.js, React Native (iOS/Android)DevOps: GitHub Actions, Jenkins, CI/CD, ArgoCD, DatadogAI Tooling: Claude Code, Cursor, GitHub CopilotWHY MEMost AI Engineers lack production infrastructure experience. Most infrastructure engineers lack AI/ML depth. I bridge both — I can build the LangChain agent AND the Kubernetes cluster it runs on, the ML pipeline AND the event-driven architecture that feeds it.I bring the engineering rigor of processing 5B+ monthly transactions to the world of AI systems — because intelligent systems need bulletproof infrastructure.LOOKING FORSenior / Staff / Lead Software Engineer roles focused on- AI/ML Platform Engineering- Intelligent Automation & LLM Systems- High-Scale Distributed Systems- AI-Augmented Products d••••••••@gmail.com Orlando, FL — Remote (US authorized) English (Fluent)| Portuguese (Native)| Japanese (Conversational)

Experience

1. Senior Software Engineer

   Keeper Security, Inc.

   Mar 2025 — Present · Orlando, FL, US

   Architected an AI-augmented enterprise security platform serving organizations, delivering CSPM and CNAPP capabilities alongside SIEM integrations (Microsoft Sentinel, Elastic). Built intelligent automation systems processing millions of daily security events with real-time threat detection, posture management, and automated response.KEY ACHIEVEMENTSBuilt intelligent security event processing pipelines handling 1.5M+ daily events across SIEM integrations (Microsoft Sentinel, Elastic), enabling automated anomaly detection, cloud posture insights, and real-time threat responseDesigned and shipped production-grade Microsoft Sentinel integration (https://github.com/Azure/Azure-Sentinel/pull/12310) with ML-ready pipelines processing 500K+ daily events at 99.9% uptime, advancing predictive threat intelligence capabilitiesDeveloped Elastic SIEM integration (https://github.com/elastic/integrations/pull/15089), enabling normalized ingestion of security telemetry and improved detection coverage across cloud and endpoint environmentsDelivered CNAPP capabilities via Wiz Cloud Security integration, strengthening cloud risk visibility, vulnerability management, and misconfiguration detection across multi-cloud environmentsCreated hardened, production-ready AWS AMI for secure enterprise deployments, standardizing infrastructure and accelerating onboarding across customer environmentsEngineered high-throughput backend infrastructure processing requests/minute with sub-150ms P99 latency, optimized for real-time security analytics and CSPM workloadsDeployed infrastructure-as-code automation (Terraform/Tofu) enabling one-click enterprise deployments on AWS, reducing setup time from hours to minutesEnhanced Enterprise Console UI (React/TypeScript), improving admin workflow efficiency by 35% for security policy and posture management

Education

• Faculdade Unyleya

  Master's degree, Cloud Computing

  2019 — 2019

• Faculdade Projeção

  Bachelor's degree, System analisys

  2014 — 2017