Experience

Adravision (YC S21)

• United States
• Hospitals and Health Care
• 1 - 100 Employee

• Machine Learning Engineer

  • Jul 2023 - Present

  Migrate model training workflows to SageMaker and increase model development pipeline efficiency Refactor all ML code bases to improve training by reducing costs and increasing reproducibility. Ensure that FDA guidelines for good machine learning practices are implemented and followed. Assist in FDA applications. Migrate model training workflows to SageMaker and increase model development pipeline efficiency Refactor all ML code bases to improve training by reducing costs and increasing reproducibility. Ensure that FDA guidelines for good machine learning practices are implemented and followed. Assist in FDA applications.



HeartLab

• New Zealand
• Medical Equipment Manufacturing
• 1 - 100 Employee

• Software Engineer

  • Jan 2023 - May 2023

  Develop and implement frontend and backend features into our web-app.Worked with various third-party APIs like Salesforce and developed an internal API client using Swagger and OpenAPI.

• Lead AI Engineer ❤️🐕

  • Jun 2021 - Feb 2023

  · Successfully led the migration of on-premises hardware to AWS, including recreating data engineering pipelines and migrating assets. · Developed and maintained robust API clients using Typescript, Swagger, and Python, ensuring seamless interaction between our product and end-users.· Designed and implemented highly scalable data pipelines on AWS SageMaker, resulting in a significant increase in efficiency and productivity.· Presented at MedTech Conferences and connected with many potential customers and research collaborations.· Effectively represented HeartLab at various sales and investment conferences, engaging with stakeholders from diverse backgrounds and successfully communicating the value proposition of our product. Show less

• AI Engineer ❤️🐕

  • Nov 2019 - Jun 2021

  Research and development of deep learning techniques to analyse echocardiograms. Dabbling in methods such as 3D convolution networks, material point prediction, classification, deep regression and semantic segmentation. Provide a useful and efficient interface for hospitals to benefit from artificial intelligence.



Auckland University of Technology

• New Zealand
• Higher Education
• 700 & Above Employee

• Teaching Assistant

  • Feb 2019 - Oct 2019

  Teaching Assistant for Nature Inspired Computing for both Bachelors and Masters courses. Coursework includes Genetic Algorithms, Artificial Neural Networks, Quantum Computing, Deep Learning etc. Teaching Assistant for Nature Inspired Computing for both Bachelors and Masters courses. Coursework includes Genetic Algorithms, Artificial Neural Networks, Quantum Computing, Deep Learning etc.



Accordo Group Ltd.

• Auckland, New Zealand

• Data Analyst

  • Nov 2016 - Feb 2018

  Using SQL to produce reports, provide data mining and data support for tickets created by internal and external stakeholders. Other tasks included financial projections using SQL and Excel, What-If Analysis, ticket management within the data team and managing scripts and the data team work space. Using SQL to produce reports, provide data mining and data support for tickets created by internal and external stakeholders. Other tasks included financial projections using SQL and Excel, What-If Analysis, ticket management within the data team and managing scripts and the data team work space.



ASB Bank

• New Zealand
• Banking
• 700 & Above Employee

• Data Consultant

  • Mar 2016 - Oct 2016

  I was given the opportunity to implement my academic skills in a real world environment. I focused on Data Analytics, Modelling and Insights where we provided an Insights Package to internal and external clients at ASB. Process: Used SQL Server and SQL to create queries to extract raw data from ASBs Data Warehouses. Used Excel to structure the data and create basic graphical models. Tableau was used to create more in-depth geographical models. Extracted information from the raw data to provide better understanding of customers. Show less