Analyze Datasets and Train ML Models

DeepLearning.AI

Statistical Data Bias Detection

Multi-class Classification

Data ingestion

Exploratory Data Analysis

Automated Machine Learning

Amazon Athena

Amazon SageMaker

AWS Glue

Amazon S3

Python

Course - Analyze Datasets and Train ML Models

A300: Atlas Security

MongoDB University

Helped deliver the brand new Whispir's smart communications SaaS platform which encompass few umbrella apps including Messages, Workflows, Contacts, Insights and Stores.
 
The multiple customer facing applications are built with a React, Apollo Client and Typescript front-end. Shared Styleguide using MUI and Storybook, Serverless Web Architecture on AWS, Node and Apollo Server for the middleware APIs, Jest and Enzyme for unit tests, Lerna as our mono-repo system. We practice CI/CD and dark releases.
 
Whispir (ASX:WSP)

Whispir

Software Engineer

👋 Hi, I’m a software engineer with over ten year’s professional experience delivering scalable web and mobile solutions.
 
📚 I have a keen interest in AI and Tiramisu cake. This makes my life both delicious and difficult, as my thirst and enthusiasm for all things creative and digitally inspired is often contingent upon my next dessert.
 
🌎 French-born and European trained, ambition and curiosity led me to Australia. I am now a dual citizen living and working in Melbourne.

Paddl is Australia’s #1 learning recognition platform (LRP) that supports infinite learners, educators and employers to surface deep insights in learning outcomes and pathways.
 
Paddl Academy is our career accelerator, delivering industry lead curated workshops, sessions and innovation challenges to upskill and reskill emerging tech professionals.

Paddl Co.

VP Engineering

How can you tell your stakeholders about the work you are doing towards your ESG goals? We will approach communications-based solutions that will have your target audience excited to learn more about your ESG work.

Paddl

Sustainability: Communicating Your Sustainability Story

Computer Vision Masterclass

Udemy

Natural Language Processing for Text Summarisation

CS50B: CS50's Computer Science for Business Professionals

HarvardX

As part of the leadership group in the solution delivery team, I was responsible for driving the growth of the front-end engineering culture and technical competency as well as actively delivering new products and maintaining the divers web based projects.
 
The multiple sites and web apps are built with Next.js for the UI, Sitecore CMS for the multiple backends, Apollo for the middleware APIs, Jest and Enzym for testing.

Cricket Australia

Principal - Front-end Engineering

Akamai Web Performance Foundations

Akamai Technologies

Kanban University

Kanban System Design

Provided technical leadership within the Digital Team. I led by example and enabled the career progression of direct reports.
 
I ensure that project deliverables meet time specifications and goals, collaboratively working with client services and relevant discipline leads to define project approach including technology, team structure, tooling system, scope and duration.
 
Delivered B2B and B2C project web and mobile for NAB, Hesta, Salvos, Australian Super.

AKQA

I led the Front End development for the Australian and Asia-Pacific offices.
 
While participating actively in development, I ensured the teams’ output was technically excellent and bridged the gap between technology, user experience and creative.
 
Delivered B2B and B2C project for web and mobile including Ernst & Young, Roadshow, Good Year, Fullerton Hotel.
 
*Next Digital has rebranded to APD in 2015 and then to GrowthOps in 2018.

Lead Front-end Engineer

Delivered a complex Adobe Experience Manager (CQ5) project for Foxtel.

Publicis Sapient

Front-End Engineer

Front-end Engineer as part of Wordbank Ltd’s in-house design studio.
Client work included Autodesk, De Beers and Reed Elsevier.

Wordbank London

Client work included Renault, BMW, Yellow Pages, Club Med, Citroën, NRJ Mobile.

SQLI

 Front-End Engineer

Clients included Casino, INPES, Airwaves.

Tribal DDB

Flash Developer

Clients included Disney, Canal+, Skyteam, Peugeot, Airfrance, Veolia.

BETC Euro RSCG

Client work included Microsoft, MasterCard, Century 21, Nespresso, Opel, Nesquik, Total, Crunch, SFR and McCann.

Tom D'agostino / Course - Analyze Datasets and Train ML Models

Analyze Datasets and Train ML Models

DeepLearning.AI

Progress

Skills