MACHINE LEARNING ENGINEER · DATA SCIENTIST
Driven to innovate in the field of machine learning and data science, aiming to create solutions that not only solve complex problems but also empower and inspire the upcoming generation of data scientists and ML engineers. Here's an overview of my contributions and achievements in advancing machine learning and data analytics.
Machine Learning Engineer - TikTok
Jul 2024 — PRESENT
At TikTok, I developed an algorithm to optimise bandwidth usage for CDNs on the Live platform, resulting in a 10% cost reduction and an 8% improvement in network efficiency. I designed a resource planning algorithm to minimise redundancy in hosting machines for servers, optimising compute and storage usage while reducing operational costs by 15%. Additionally, I implemented a live network probe integrated with Grafana for real-time performance monitoring, ensuring system stability and enabling cross-team strategic deployments. Leveraging Big Data tools such as PySpark and HIVE, I processed and analysed large-scale log data to support efficient decision-making across infrastructure management.
PythonFlaskHIVEClickHousePySparkGrafanaBig DataCDN OptimisationCost Reduction
Machine Learning Engineer - Optus
Apr 2022 — May 2024
Enhanced customer service with advanced language models, achieving a 5% AI resolution rate increase and cost savings. Led development of an efficient AI chatbot data pipeline and managed GCP infrastructure, focusing on system reliability and code quality. Improved AI solution integrity through anomaly detection. Also led an AWS DeepRacer initiative and an NLP-focused AI education program with La Trobe University.
GCPPythonLangChainVertex AIBigQuery
Data Science Intern - HelloFresh
Apr 2021 - Nov 2021
I was entrusted with the responsibility of enhancing operational efficiencies through predictive modeling. My primary achievement was the design and implementation of a forecasting model that predicted auto cancellations, thereby reducing operational waste by 2%. This initiative was crucial in streamlining the company's processes and contributing to a more sustainable business model. Additionally, I played a key role in refining data pipelines, ensuring high-quality data for downstream applications and improving the accuracy of demand forecasting. My tenure at HelloFresh was marked by a steadfast commitment to applying data science methodologies to deliver tangible business results.
PythonPandasSQLAlchemy
Head Teacher - Code Camp
Nov 2017 - Apr 2021
My tenure involved imparting the fundamentals of computer science to primary school students, fostering an early interest in technology. I took pride in nurturing young minds to develop their own video games, a process that honed their logical thinking and creativity. This experience was not only rewarding but also pivotal in shaping future problem-solvers and innovators.
Educational Technology
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