Daniel Tsiang

Software Engineer

Software Engineer with a First-Class Masters in Engineering (MEng) degree from Imperial College London.

Experience

Deployed GCP’s Gemini LLM into production to optimise workflows extracting information from images and summarising customer call transcripts. This eliminated hundreds of hours of manual human labour every week.
Integrated Google AI APIs directly into the Java banking platform to boost customer operations efficiencies and detect fraud.
Engineered the backend, unit & integration tests for Python apps and packages serving Machine Learning (ML) models.
Deployed ML models into production by running microservices in Docker containers and orchestrating them with Kubernetes.
Created Java-based simulator to put ML services under constant load, resolving performance bottlenecks and validating accuracy of responses.
Created serverless event-driven AWS Lambda to sync files between S3 and Cloud Storage using keyless cross-cloud auth.
Automated data ingestion & processing pipelines by writing Bash CI/CD pipelines to create templates for GCP Dataflow jobs.
Implemented Prometheus metrics and created Grafana dashboards to monitor app and ML model performances, allowing detection of model drift and adhering to MLOps best practices.
Established automated CI workflows to scan code for security vulnerabilities, with GitHub and Slack integrations for alerts.

August 2021 - Present

Jan 2021 - Dec 2021

Completed intensive courses covering fundamental computer science concepts and advanced AI techniques.
Created AI programs to play Minesweeper, Tic-Tac-Toe and Nim games optimally.
Developed AI programs to generate crossword puzzles, rank webpages by importance and solve logic puzzles.

Oct 2014 - Jun 2018