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Charles Jackson

@charlesjackson1

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Senior Machine Learning Engineer at SWEE Technologies who developed an AI golf coach analyzing 200,000 swing videos.

New Zealand

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At SWEE Technologies, I owned the end-to-end AI capability for a golf coaching platform, working with coaches to turn their expertise into models and production features. I developed computer vision systems to analyze golf swings and provide personalized coaching.

I analyzed around 200,000 swings to identify swing styles and relationships between movements. I also built an LLM-powered coaching assistant using tool calling and retrieval-augmented generation, and optimized inference for on-device and Google Cloud Platform deployment.

I founded Eat Smart Kiwi and solo-developed a mobile app that uses statistical modelling and machine learning to identify personalized food-symptom relationships from longitudinal data. I also added LLM-powered nutritional analysis and a chatbot that answers questions using users’ own data.

Earlier, I developed computer vision and recommendation systems at Hiplee, and forecasting and predictive models at Accordo Group. My work spans biomedical image analysis, e-commerce, health data and production AI, backed by a PhD in Biomedical Engineering from Carnegie Mellon University.

Experience

Work history, roles, and key accomplishments

Senior Machine Learning Engineer

SWEE Technologies

Jan 2019 - Jan 2026 (7 years)

Owned end-to-end AI capability for an AI-powered golf coaching platform, designing and deploying computer vision models to analyze ~200,000 swing videos and deliver personalized coaching. Built an LLM-powered coaching assistant using tool calling and RAG, and optimized production inference pipelines for on-device and cloud deployment.

Python PyTorch Deep Learning Computer Vision 3D Reconstruction Probabilistic Modeling Time Series Modeling LLM Tool calling RAG GCP On Device Deployment Quantization Inference Pipeline

Founder

Eat Smart Kiwi

Jan 2019 - Jan 2026 (7 years)

Founded and solo-developed a cross-platform mobile app using statistical modeling and machine learning to identify personalized food-symptom relationships from noisy longitudinal data. Built LLM-powered features including automated nutritional analysis and a chatbot using users' own data.

Statistical Modeling Machine Learning Mobile Application Developer LLM Chatbot Data Analysis

Applied AI Research Scientist

Hiplee

Jan 2018 - Jan 2019 (1 year)

Used computer vision models to match Instagram photos to products from online clothing retailers. Developed and deployed a scalable recommendation system using product metadata, clickstream, and user-preference data.

Computer Vision Recommendation Systems Scalable Systems Clickstream analysis

Chief Data Scientist

Accordo Group

Jan 2016 - Jan 2018 (2 years)

Developed machine learning models to forecast Microsoft revenue for ~10 million businesses globally and performed root-cause analysis of forecast variances. Architected scalable real-time ML pipelines and led the company's data science function.

Machine Learning Forecasting predictive modeling Python SQL Real Time Pipeline Root Cause Analysis Leadership

Product Strategy Manager

Accordo Group

Jan 2015 - Jan 2016 (1 year)

Defined the technical product roadmap and worked with engineering and executive stakeholders to align technical investment with commercial objectives.

Product Strategy Roadmapping Stakeholder Management

Technical Services Manager

Accordo Group

Jan 2014 - Jan 2015 (1 year)

Led a multi-disciplinary team of 15 across software engineering, QA, IT, and data.

Team Leadership Software Engineering QA IT Data

Data Scientist

Accordo Group

Jan 2010 - Jan 2014 (4 years)

Applied data science and machine learning to business problems.

Data Science Machine Learning

R&D Manager

Accordo Group

Jan 2010 - Jan 2014 (4 years)

Managed research and development activities within the company.

Business Improvements Manager

Accordo Group

Jan 2010 - Jan 2014 (4 years)

Reported directly to the CEO to identify and deliver strategic initiatives generating over $1M in revenue growth and cost savings. Introduced data science and machine learning into the business and built a centralized Business Intelligence platform.

Business Strategy Data Science Machine Learning Business Intelligence Revenue Growth

Education

Degrees, certifications, and relevant coursework

Carnegie Mellon University

PhD, Biomedical Engineering

Grade: 3.8/4.0

Activities and societies: Thesis: Developed real-time computer vision and machine learning models for fluorescence microscopy, including protein-pattern classification and active learning approaches. Publications in IEEE Transactions on Image Processing, Bioinformatics, and BMC Bioinformatics.

PhD in Biomedical Engineering with research focused on computer vision and machine learning for biomedical image analysis.