Daniel Tsiang

Software Engineer

Results-driven software engineer specialising in Machine Learning and AI, with a proven track record of delivering impactful solutions within the financial services industry.

Experienced in leading teams, deploying LLMs, and optimising operational efficiency through innovative technology.

Experience

Tech Lead – Machine Learning Software Engineering

Starling Bank

Managing a team of 8 software engineers to delivery efficiencies across the business using cutting-edge Machine Learning and AI, and promoting best practices with MLOps & LLMOps.

August 2024 - Present

Senior Software Engineer

Starling Bank

Deployed LLMs into production to optimise workflows extracting information from images and summarising transcripts.
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.
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.

July 2023 - July 2024

Software Engineer

Starling Bank

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.
Established automated CI workflows to scan code for security vulnerabilities, with GitHub and Slack integrations for alerts.

August 2021 - June 2023

Portfolio

Skills & Tools

Python

Java

JavaScript

Bash

SQL

Docker

GCP

AWS

Terraform

TensorFlow

Git

Kubernetes

EDUCATION

Jan 2021 - Dec 2021

CS50ai & CS50x: Computer Science with Artificial Intelligence using Python

Harvard University

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