Hi, my name is:

Zarif Aziz

I enjoy building things.

I'm a software engineer and data scientist based in Sydney, Australia focused on building AI-enabled software solutions for a wide range of problems. Currently working at Faethm.ai. Check out some of my work on this website. You can also get in touch with me using the links below.


  • NVIDIA GTC 2021 Presenter
  • USYD Chancellor's Scholarship Recipient
  • USYD Engineering Sydney Industry Placement Scholarship Recipient
  • 99.95 ATAR (equivalent of 4 A Stars in CIE A levels)
  • Gained Highest Physics Mark in Bangladesh for IGCSE
  • Valedictorian of my grade in high school

Technologies I've used


  • Python
  • Bash
  • C++

Data Science

  • Scipy
  • Numpy
  • Pandas
  • OpenCV
  • Tensorflow
  • Keras


  • SQL
  • Java
  • Assembly


University of Sydney (USYD)

Combined Bachelor of Mechatronic Engineering (Honours) and Commerce (Information Systems)
First Class Honours

Average Mark: 80

Relevant Coursework:
  • Predictive Analytics
  • Robotics
  • Machine Learning
  • Engineering Computing
  • Mechatronic Systems
  • Business Intelligence
2015 - 2019

The Aga Khan School, Dhaka


A Level Result: 4 A Stars (Converted to 99.95 ATAR)

Graduated 2014


Data Science Engineer

Abyss Solutions
  • Machine learning lead for ‘Flare Stacks’ inspection project which involved planning tasks, labelling and developing a CNN model for corrosion detection. As a team, we developed a new model which increased efficiency by 40%. Presented at NVIDIA GTC 2021.
  • Developing various core applications using Python and Bash to analyse high-resolution image data, 3D point-cloud data and video.
  • Developed an generic, production-grade image segmentation tool used by a team of 4 ML engineers. The tool was built using Tensorflow 2 Keras API. The aim was to have a standardised method to train various machine learning model architectures and backbones on image data.
March 2020 - September 2021

Research Intern

  • Developed a flight scheduling tool to automate the scheduling for Nearmap’s fleet of planes. Placement given by the Engineering Sydney Industry Placement Scholarship (ESIPS) for my Honours Thesis.
  • Implemented a customised Genetic Algorithm for path optimisation.
  • The tool was able to generate full-year schedules and created a bedrock for further development and research. Built using Python . Final Mark: 85 (High Distinction).
July 2019 - January 2020

Data Analyst Intern

Deloitte Australia
  • Used Analytics to assist the Audit team. Implemented using SQL and Tableau.
  • Built a Machine Learning predictive model to detect journal entry outliers using Python.
  • Built dashboard using HTML and CSS.
January 2019 - February 2019

Software Engineer

  • Built a service that notifies significant changes in cryptocurrency transactions, hosted on Amazon EC2.
  • Integrated service with Slack API. Using Python, Jupyter, Pandas and Linux.
August 2018 - December 2018

Product Development Intern

Okra Solar
  • Built Grafana Dashboards for system monitoring using SQL and InfluxDB.
  • Wired and tested 20 new Okra PCBs to be used in Cambodian villages to control energy sharing.
  • Travelled to a remote village in Cambodia to assist in implementing Okra’s smart grids.
July 2018