CircuitWall Consultancy

Expert Java, Spring, JVM performance tuning, big data, real-time processing and machine learning consultancy by Andrew Wu in Stockholm, Sweden.


About Me


I’m Andrew Wu, an Engineering Manager based in Stockholm, Sweden, leading high-performing AI/ML teams in developing cutting-edge solutions. With over 15 years of experience in technology and a proven track record in both technical leadership and team management, I specialize in building cohesive, efficient teams that deliver exceptional results in the AI/ML space.

Leadership & Management

  • Building and leading cross-functional AI/ML engineering teams
  • Fostering a culture of innovation and continuous learning
  • Driving technical excellence and best practices
  • Mentoring and developing technical talent
  • Improving team efficiency and delivery processes

Technical Expertise

  • AI/ML Engineering

    • Machine Learning Operations (MLOps)
    • Production ML systems architecture
    • AI solution design and implementation
    • Data pipeline optimization
    • Model development and deployment
  • Technology Leadership

    • Cloud architecture and migration strategies
    • Enterprise application development
    • Big data infrastructure and analytics
    • System scalability and performance
    • Security and compliance

Professional Background

  • 15+ years in software engineering and technology
  • Extensive experience in Java, Python, and cloud technologies
  • Deep expertise in big data processing and ML systems
  • Strong focus on cloud-native architectures
  • Proven track record in team leadership and project delivery

I’m passionate about helping organizations build and scale their AI/ML capabilities while maintaining high team engagement and technical excellence. Whether you’re looking to enhance your ML operations, build a high-performing team, or need strategic technical guidance, I’m here to help.

Feel free to contact me or connect on LinkedIn to discuss how we can work together.

Recent Updates

Portrait

Services


End-to-end consulting across the JVM, data, and ML stack.

CircuitWall Consultancy

AI & Machine Learning

I bring AI systems to production - from prototype to a model people actually rely on. Last 3 years: building, training, and shipping models in fintech and consumer products.

  • What I do

    • Production ML pipelines (training, eval, deploy, monitor)
    • LLM and agent systems: RAG, tool use, evals, guardrails
    • Computer vision and on-device / in-browser inference
    • Real-time scoring: fraud, risk, recommendations
  • Stack

    • PyTorch, Transformers, Vertex AI, MLflow
    • Kafka, Spark, BigQuery
    • Kubernetes, Docker, GitHub Actions
  • What you get

    • A model in production, not a notebook
    • Evals you trust and dashboards you read
    • A team that can keep iterating after I leave
CircuitWall Consultancy

Engineering Management

I lead engineering organizations that ship. Most recently at Visa - leading 40+ direct and indirect reports across model and product development for the past 3 years.

  • What I do

    • Build and grow ML / platform / product teams (hiring, levelling, performance)
    • Set technical strategy and roadmap, run the OKR / planning rhythm
    • Coach managers and senior ICs; raise the bar without burning people out
    • Land cross-org programs: AI integration, platform migrations, audits
  • Available as

    • Fractional / interim Engineering Manager
    • Director-level advisor for AI and platform orgs
    • Reorg, hiring-plan, and tech-due-diligence consultant
  • What you get

    • A team that delivers - and stays
    • Clear ownership, fewer meetings, real outcomes
CircuitWall Consultancy

Application Development

15+ years building enterprise systems on the JVM and beyond. Modern, well-tested, easy to operate.

  • What I do

    • Microservices and event-driven systems on the JVM
    • Legacy modernization and incremental rewrites
    • API design (REST, GraphQL, gRPC) and integration
  • Stack

    • Java / Spring (10+ yrs), Kotlin, Python, Go
    • PostgreSQL, MongoDB, Redis, Kafka
    • CI/CD, IaC, security-first by default
  • What you get

    • Software that ships predictably and runs without 2 a.m. pages
    • Engineers who learn the codebase, not just the ticket queue
CircuitWall Consultancy

Cloud & Platform

Cloud-native infrastructure that supports the workloads above - including GPU and ML serving - without surprise bills.

  • What I do

    • Migration and modernization (lift, refactor, or rebuild)
    • Kubernetes platforms, GPU scheduling, multi-tenant isolation
    • Cost and reliability optimization, observability, security baseline
  • Clouds

    • GCP: Vertex AI, BigQuery, GKE, Cloud Run, Cloud Functions
    • AWS: EKS, S3, Lambda, Athena, VPC
    • Cloud Foundry, Kubernetes, GitHub Actions
  • What you get

    • Predictable cost, predictable latency
    • A platform your team can extend, not just consume

Recent Writing


Notes from the field on Java, JVM tuning, Kafka, and applied ML.