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I'm a data scientist and ML engineer specializing in computer vision and MLOps. I enjoy turning cutting-edge CV research into production-grade solutions and building end-to-end ML systems, including on-device inference and cloud pipelines. Based in Auckland, New Zealand, I love prototyping AI-native products and collaborating with cross-functional teams to deliver measurable impact. Over the past few years I've designed ML pipelines for image clustering, lifelike fish tracking, and satellite imagery analysis, as well as web-based tools for information extraction using LLMs. I'm comfortable bridging research and production, developing data-labeling tools, and communicating insights clearly to stakeholders.…I'm a data scientist and ML engineer specializing in computer vision and MLOps. I enjoy turning cutting-edge CV research into production-grade solutions and building end-to-end ML systems, including on-device inference and cloud pipelines. Based in Auckland, New Zealand, I love prototyping AI-native products and collaborating with cross-functional teams to deliver measurable impact. Over the past few years I've designed ML pipelines for image clustering, lifelike fish tracking, and satellite imagery analysis, as well as web-based tools for information extraction using LLMs. I'm comfortable bridging research and production, developing data-labeling tools, and communicating insights clearly to stakeholders.

Michael Stanley

Data Scientist, AI Engineer, AI Developer, +1

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I'm a data scientist and ML engineer specializing in computer vision and MLOps. I enjoy turning cutting-edge CV research into production-grade solutions and building end-to-end ML systems, including on-device inference and cloud pipelines. Based in Auckland, New Zealand, I love prototyping AI-native products and collaborating with cross-functional teams to deliver measurable impact. Over the past few years I've designed ML pipelines for image clustering, lifelike fish tracking, and satellite imagery analysis, as well as web-based tools for information extraction using LLMs. I'm comfortable bridging research and production, developing data-labeling tools, and communicating insights clearly to stakeholders.…I'm a data scientist and ML engineer specializing in computer vision and MLOps. I enjoy turning cutting-edge CV research into production-grade solutions and building end-to-end ML systems, including on-device inference and cloud pipelines. Based in Auckland, New Zealand, I love prototyping AI-native products and collaborating with cross-functional teams to deliver measurable impact. Over the past few years I've designed ML pipelines for image clustering, lifelike fish tracking, and satellite imagery analysis, as well as web-based tools for information extraction using LLMs. I'm comfortable bridging research and production, developing data-labeling tools, and communicating insights clearly to stakeholders.

Available to hire

I’m a data scientist and ML engineer specializing in computer vision and MLOps. I enjoy turning cutting-edge CV research into production-grade solutions and building end-to-end ML systems, including on-device inference and cloud pipelines. Based in Auckland, New Zealand, I love prototyping AI-native products and collaborating with cross-functional teams to deliver measurable impact.

Over the past few years I’ve designed ML pipelines for image clustering, lifelike fish tracking, and satellite imagery analysis, as well as web-based tools for information extraction using LLMs. I’m comfortable bridging research and production, developing data-labeling tools, and communicating insights clearly to stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Spanish; Castilian

Intermediate

Work Experience

Founder / Engineer (iOS & LLM Solutions) at Aptic Auckland

January 1, 2025 - Present

Designing and building iOS applications powered by large language models. Developing end-to-end LLM solutions, including on-device inference, APIs, and cloud pipelines. Prototyping AI-native products and applied ML systems for real-world deployment.

Data Scientist / Machine Learning Engineer at Narrative Auckland

January 1, 2024 - January 1, 2025

Designed and implemented advanced machine learning systems to enhance professional photo culling and selection. Built an ML framework for clustering images, created a large language model data pipeline for extracting meaningful text from clustered image sets, and developed a Rust-based data-labeling solution integrating Databricks and AWS imagery. Implemented a high-sensitivity image comparison system to localise subtle differences between image pairs.

Data Scientist at Lynker Analytics

January 1, 2020 - January 1, 2024

Led the engineering and MLOps development of a 13-species fish tracking and length estimation system using video footage captured at sea. Built secure cloud-based ETL pipelines, trained ML algorithms, and produced annotated videos/CSV outputs for fisheries decision-makers. Conducted wetland segmentation with multi-spectral imagery and vegetation species prediction for protected-region monitoring; presented MIGARS 2024.

Software Developer at SnapIT

January 1, 2019 - January 1, 2020

Contributed to computer vision models for object detection and classification in fisheries and geospatial contexts, collaborating on software development during graduate studies.