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I'm Vlad Wu, a senior AI/ML engineer with over 10 years building production systems across ML, data, and backend infrastructure. I specialize in document intelligence and LLM-based applications, including RAG pipelines, OCR processing, and API-driven services. I enjoy turning ideas into reliable production systems with monitoring, retraining, and performance optimization in cloud environments. I collaborate with cross-functional teams to design scalable data pipelines and robust ML architectures, delivering measurable business impact while maintaining a friendly, knowledge-sharing mindset. In my free time, I explore new AI techniques and contribute to tooling and documentation to empower others.…I'm Vlad Wu, a senior AI/ML engineer with over 10 years building production systems across ML, data, and backend infrastructure. I specialize in document intelligence and LLM-based applications, including RAG pipelines, OCR processing, and API-driven services. I enjoy turning ideas into reliable production systems with monitoring, retraining, and performance optimization in cloud environments. I collaborate with cross-functional teams to design scalable data pipelines and robust ML architectures, delivering measurable business impact while maintaining a friendly, knowledge-sharing mindset. In my free time, I explore new AI techniques and contribute to tooling and documentation to empower others.

Vlad Wu

AI Engineer, Data Scientist, Full Stack Developer, +3

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I'm Vlad Wu, a senior AI/ML engineer with over 10 years building production systems across ML, data, and backend infrastructure. I specialize in document intelligence and LLM-based applications, including RAG pipelines, OCR processing, and API-driven services. I enjoy turning ideas into reliable production systems with monitoring, retraining, and performance optimization in cloud environments. I collaborate with cross-functional teams to design scalable data pipelines and robust ML architectures, delivering measurable business impact while maintaining a friendly, knowledge-sharing mindset. In my free time, I explore new AI techniques and contribute to tooling and documentation to empower others.…I'm Vlad Wu, a senior AI/ML engineer with over 10 years building production systems across ML, data, and backend infrastructure. I specialize in document intelligence and LLM-based applications, including RAG pipelines, OCR processing, and API-driven services. I enjoy turning ideas into reliable production systems with monitoring, retraining, and performance optimization in cloud environments. I collaborate with cross-functional teams to design scalable data pipelines and robust ML architectures, delivering measurable business impact while maintaining a friendly, knowledge-sharing mindset. In my free time, I explore new AI techniques and contribute to tooling and documentation to empower others.

Available to hire

I’m Vlad Wu, a senior AI/ML engineer with over 10 years building production systems across ML, data, and backend infrastructure. I specialize in document intelligence and LLM-based applications, including RAG pipelines, OCR processing, and API-driven services. I enjoy turning ideas into reliable production systems with monitoring, retraining, and performance optimization in cloud environments.

I collaborate with cross-functional teams to design scalable data pipelines and robust ML architectures, delivering measurable business impact while maintaining a friendly, knowledge-sharing mindset. In my free time, I explore new AI techniques and contribute to tooling and documentation to empower others.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

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Expert

Expert

Language

English

Fluent

Work Experience

SENIOR AI/ML ENGINEER at PWC (UK)

January 1, 2025 - Present

Led development of document intelligence pipelines for financial and regulatory workflows, processing large volumes of unstructured documents. Designed RAG-based systems to support search and question answering across internal audit datasets. Built end-to-end pipelines (OCR → preprocessing → indexing → inference) using Python and Airflow. Exposed ML capabilities through FastAPI services used by internal tools and client-facing applications. Improved extraction accuracy by refining prompt strategies and evaluation workflows, reducing manual review effort.

SENIOR AI ENGINEER at SPARKCOGNITION

April 1, 2023 - December 1, 2024

Built multimodal ML pipelines for video and audio analysis, focusing on real-time inference performance. Developed and deployed models using PyTorch and SageMaker, improving inference latency and throughput. Designed data pipelines using BigQuery and Dataflow for large-scale training workflows. Delivered ML-driven forecasting systems for retail clients, improving inventory planning. Established CI/CD workflows for ML systems, standardizing deployment and model versioning.

AI/ML OPS ENGINEER at THOUGHT MACHINE

September 1, 2018 - March 1, 2023

Built and maintained ML pipelines for fraud detection and transaction risk scoring. Developed API-based services to integrate ML predictions into core banking platforms. Implemented model monitoring and data drift detection using Datadog and Prometheus. Automated training and deployment workflows using Kubernetes, Terraform, and GitHub Actions. Ensured compliance with GDPR and PCI standards in ML systems.

FULL STACK ENGINEER at BIGCOMMERCE

August 1, 2014 - August 1, 2018

Developed backend services and ETL pipelines for analytics and reporting systems. Built REST APIs and data workflows to support merchant dashboards. Improved system performance through database optimization and query tuning. Contributed to migration from monolith to service-oriented architecture.

Senior AI Engineer at SparkCognition (US)

April 1, 2023 - December 1, 2024

Built multimodal ML pipelines for video and audio analysis with real-time inference; deployed models using PyTorch and SageMaker to improve latency and throughput; designed data pipelines with BigQuery and Dataflow for large-scale training; delivered ML-driven forecasting for retail clients; established CI/CD workflows for ML systems with model versioning.

AI/ML Ops Engineer at Thought Machine (UK)

September 1, 2018 - March 1, 2023

Built and maintained ML pipelines for fraud detection and transaction risk scoring; developed API-based services to integrate ML predictions into core banking platforms; implemented model monitoring and data drift detection using Datadog and Prometheus; automated training and deployment workflows using Kubernetes, Terraform, and GitHub Actions; ensured GDPR and PCI compliance in ML systems.