Hi, I'm Chris Li, a machine learning engineer with 3+ years of experience building data pipelines, feature engineering, statistical modeling, and ML solutions on AWS and GCP. I enjoy turning data into actionable insights, collaborating with cross-functional teams, and delivering robust solutions under pressure. I'm particularly passionate about feature engineering, prompt engineering, and model optimization to improve real-world performance. In my current role at AddAxis in Canberra, I design scalable ML architectures, implement pipelines for data prep and deployment, and build semantic search systems with Pinecone. I also worked on IoT/SCADA projects on AWS, automating data ingestion, anomaly detection, and digital twins to reduce downtime and manual effort.

Chris LI

Hi, I'm Chris Li, a machine learning engineer with 3+ years of experience building data pipelines, feature engineering, statistical modeling, and ML solutions on AWS and GCP. I enjoy turning data into actionable insights, collaborating with cross-functional teams, and delivering robust solutions under pressure. I'm particularly passionate about feature engineering, prompt engineering, and model optimization to improve real-world performance. In my current role at AddAxis in Canberra, I design scalable ML architectures, implement pipelines for data prep and deployment, and build semantic search systems with Pinecone. I also worked on IoT/SCADA projects on AWS, automating data ingestion, anomaly detection, and digital twins to reduce downtime and manual effort.

Available to hire

Hi, I’m Chris Li, a machine learning engineer with 3+ years of experience building data pipelines, feature engineering, statistical modeling, and ML solutions on AWS and GCP. I enjoy turning data into actionable insights, collaborating with cross-functional teams, and delivering robust solutions under pressure. I’m particularly passionate about feature engineering, prompt engineering, and model optimization to improve real-world performance.

In my current role at AddAxis in Canberra, I design scalable ML architectures, implement pipelines for data prep and deployment, and build semantic search systems with Pinecone. I also worked on IoT/SCADA projects on AWS, automating data ingestion, anomaly detection, and digital twins to reduce downtime and manual effort.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

Language

English
Fluent

Work Experience

ML Engineer at AddAxis
March 1, 2022 - Present
Designed and implemented ML solution architectures to satisfy diverse clients’ requirements. Developed scalable data pipelines to prepare data sources, and managed data storing, cleaning, and transforming for training. Investigated data distributions for feature selection. Built and evaluated machine learning models, conducted training and fine-tuning. Version-controlled experiments and tracked performance to select optimal deployment versions. Collaborated with cross-functional teams and clients to deliver robust pipelines and phased results.
Junior ML Engineer at AddAxis
June 1, 2022 - June 1, 2023
Designed and developed ML pipelines and features, handled data preparation and feature selection, and contributed to model training, evaluation, and deployment. Maintained version control and tracked performance improvements. Collaborated with teams and clients to deliver scalable, maintainable solutions.
Intern at AddAxis
March 1, 2022 - June 1, 2022
Assisted in designing ML solution architectures, data preparation, cleaning, and feature engineering; supported model training and evaluation; contributed to documenting and presenting results to clients.

Education

at The Australian National University
July 1, 2016 - December 1, 2018

Qualifications

Google Cloud Certified Professional Machine Learning Engineer
January 11, 2030 - January 5, 2026
AWS Certified AI Practitioner
January 11, 2030 - January 5, 2026
AWS Certified Machine Learning - Specialty
January 11, 2030 - January 5, 2026

Industry Experience

Software & Internet, Professional Services, Media & Entertainment