I turn ideas into reality with precision.

I'm a Full Stack / Systems Software Engineer with strong problem-solving skills, specializing in creating exceptional digital experiences. With a rare combination of skills in DevOps / SRE, Backend & Frontend, UX/UI and Mathematics

01.About Me
I am a Systems / Full Stack Engineer by profession, but I am also into few others things..

I like to build software, with the most common to the most special of needs. This unique background allows me to look at systems from a user’s perspective, always looking at what the user might like vs not so much, and how processes can be improved for developers.

Recently, I have also gained experience in geo-spatial intelligence tools where I worked on a government funded project, as a frontend developer integrating various parts to the frontend: from AI to databases to UX/UI to systems (like Martin Vector Tile Server). This was one of the projects where I had to upskill and learn a lot from scratch. I have worked on multiple initiatives both on personal and professional projects, to improve developer productivity. I have a keen eye to design sharp and performant user interfaces, and also backend apps. I like to think about systems at scale, simplify them and also make them more performant and reliable. I like to sometimes dabble deep into the Operating system, troubleshooting network layer problems, which also helps me understand why systems behave the way they do.

Outside of this, I enjoy travelling, playing basketball, swimming and surfing. I am an active surf life saver and crew.

I love to cook and take pride in my cooking skills too.
Here's what I'm usually working with these days:
Next.js/React
TypeScript/JavaScript
Tailwind CSS
Azure DevOps
AWS/Azure
Node.js
C#/.NET
Python
Observability
Figma
My Image Not Found
02.Background
SLS

SLSA NSW, DEE WHY BEACH (Sydney, 2025 - Present)

Bronze Medallion + IRB Crew

SLSA Bronze Medallion and Certificate II Public Safety (Aquatic Rescue) skills and knowledge related to workplace safety, radio operations, surf awareness, aquatic rescue operations, resuscitation, emergency care, communication, teamwork, spinal management and patrol operations.

UNSW

Masters - University of NSW (Sydney, 2019 - 2022)

Master of Advanced Computing

Advanced coursework in software engineering, data systems, networks, machine learning and security.

Monash

Bachelors - Monash University (Melbourne, 2014 - 2018)

Bachelor of Engineering (Software)

Foundational study in algorithms, software development, and system architecture.

UNSW

TAFE - Everest Institute Lalor (2015 - 2016)

Certificate III in Commercial Cookery - Portfolio

Training as a commercial cook, to use a wide range of cookery skills. Practical training in the preparation and safe-handling of a variety of food types, including meat, seafood, poultry, dairy, and other common allergens.

03.
Where I've Worked
RydraCo-founder/CTO @ Rydra
Jan 2026 - Presentwww.getrydra.com
Developing the next generation of ordering and delivery systems providng real-time insights to businesses
03. Some Things I've Built
Project Screen shot

At MapAI, I was part of the founding team being a collaboration of Frontier SI & University of NSW and during its early days, in developing frontend components for their AI application using Next.js and Tailwind CSS, integrating with AI backend developed in Open AI and Martin Tile server.

Our focus was on integrating new features and improving the user interface. One notable achievement was building a hoverable chat experience, that could run queries and keep history.

    OpenAIPythonTailwind CSSNext.jsReduxGeo-spatial
Project Screen shot
Concurrency management of cloud applicationsLockR

I had the opportunity to lead the development of a Python CLI powering critical cloud applications currently in use by students and big tech, which aimed to create a way to manage distributed application in cloud, to avoid resource conflicts due to multiple instances of the application running.

Oversaw the planning and development of the project, including the design and implementation using Python Click and Redis

    PythonClickRedisLocking
Project Screen shot
Volatility prediction in stock marketsOptiver - Realised Volatility prediction

A Machine Learning Model using CNN LSTM (Convulational Neural Network - Long Short Term Memory), which helps with stock prediction, it ranked very well amongst other models in the competition.

    OptiverStock predictionTradingNeural networksPython
04.What's Next?
Get In Touch

Whether you have a question or just want to say hi, I'll try my best to get back to you!