Andrew
Ai Engineer @Starling
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WORK HISTORY
Ai Engineer @Starling
London, GB
ML/Data Engineering: Engineered a data optimization process, transitioning help desk call transcription data from WAV to MP3, and utilized the ROUGE metric to validate transcription fidelity.* MLOps & Performance Testing: Designed and implemented a Kubeflow pipeline to automate testing and measure the performance of Cheque OCR models, leveraging Google\'s Gemini models for evaluation.* Full-Stack Application Development: Architected and deployed an internal LLM Chat Application, featuring a Java microservice backend and a frontend built with React, Redux, and Redux Toolkit, integrated with Google Cloud AI services.* Financial Crime & Visualization: Built a data visualization tool using d3.js and React, transforming complex financial data into a graph-based representation to aid in fraud-related financial crime detection.
EDUCATION
Korea University
BA, English Language and Literature, General
SKILLS
ABOUT ANDREW
As an experienced API and cloud platform engineer, I have a demonstrated history of working on large-scale, high-capacity distributed systems. My areas of expertise include event-driven microservice architecture, CQRS, and functional-flavored programming in C# and TypeScript.I am proficient and comfortable with the following technologies- C#, Node.js, JavaScript, and TypeScript- SQL and NoSQL databases including AWS RDS, MySql, DynamoDB, SQL server, and Azure Cosmos DB- RESTful API and GraphQL endpoints- Messaging infrastructure such as AWS SNS, SQS, and Azure Service Bus- Serverless technologies, including AWS Lambda, Azure Function, and the Serverless framework- API/GraphQL frameworks such as ASP.NET Core, Express, and Apollo GraphQL Server- Front-end libraries including React and React Native- Resource provisioning using Terraform- CI/CD pipelines utilizing Azure DevOps, GitHub Actions, and GitLab
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