
Avi Paul
Tech lead - Data Engineering | Applied AI
Updated 8 months ago
19+
Years Experience
22
Roles
42
Skills
1
Education
About
As a seasoned Data, Cloud and ML Engineer, I have nearly two decades of expertise crafting data-centric solutions. My hands-on experience spans designing and implementing comprehensive data pipelines, with a particular emphasis on machine learning applications that propel business goals forward. I have a deep-seated interest in the subfield of machine learning, Natural Language Processing, particularly in harnessing its potential for enhanced efficiency in our life, which was the central theme of my PhD work. Given this background, my enthusiasm for building with Generative AI comes as second nature. I'm eager to bring this expertise to a team equally passionate about pioneering data-driven advancements.
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Experience (22 roles)
Full-time · 3 yrs 3 mos
Current2 roles · May 2022 - Present
Technical Lead
CurrentSkills: Technical Leadership · Data Architects · Applied Machine Learning · Solution Architecture · Data Engineering · Google Cloud Platform (GCP) · Cloud Development
Senior Data and ML Engineer
Achievements • Developed cutting-edge Generative AI prototypes using PaLM 2 models that enhanced data discovery processes, streamlined potential client research, and automated the categorisation of OFX public reviews. • Enhanced data API endpoint security by implementing an SSL-enabled load balancer...
Principal Consultant (Data Engineering and Data Science)
Skills: Applied Machine Learning
Integration and Solution Design Lead (via Servian)
This project aims to replace Sabre Air Crews Management Solution with Merlot Crew Management Solution from CAE. The key integration task is to ensure that all the different systems, processes and data are integrated successfully. • Engage with the business to understand business process requirements...
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Education (1)
QUT (Queensland University of Technology)
2012 - 2015
Grade: Completed Built algorithm to extract information using natural language processing. Used various machine learning framework and supervised learning to classify if a social media post is likely to be relevant for disaster responders, such as Red Cross or Department of Community Safety. Skills: Applied Machine Learning
Skills (42)
Certifications (6)▼
Serverless Data Processing with Dataflow: Foundations
Coursera
Cloud Analytics Master
Cloud Analytics Academy
BigLake: Qwik Start
Coursera
Generative AI Fundamentals
Google Cloud Skills Boost for Partners
The Data Scientist’s Toolbox
Coursera
Introduction to Large Language Models
Google Cloud Skills Boost for Partners
Publications (8)▼
Providing augmented reality based education for students with attention deficit hyperactive disorder via cloud computing: Its advantages
Advanced Communication Technology (ICACT), IEEE · Feb 19, 2012
Usability of small crisis data sets in the absence of big data
International Conference on e-Education, e-Business and Information Management · Mar 14, 2013
Potential for Providing Augmented Reality Elements in Special Education via Cloud Computing
Procedia Engineering, ELSEVIER · Apr 25, 2012
Identifying relevant information for emergency services from twitter in response to natural disaster
QUT Thesis (PhD) · Dec 14, 2015
Slicing Big Data: Extracting important information from a social network stream during crisis
AOIR · May 28, 2013
Software Quality Standards for maintenance activities in IT laboratories
MMU International Symposium on Information and Communications Technologies · Oct 1, 2007
Advanced learning tools for students with attention deficit hyperactivity disorder
8th International Conference on Computing Technology and Information Management (ICCM), IEEE · Apr 24, 2012
Towards a typology of hashtag publics: a large-scale comparative study of user engagement across trending topics
Routledge · Apr 25, 2016
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