About · Team
STREaMLiNE is a solo practice. The person who scopes the work is the person who builds it, ships it, and picks up the phone when it breaks.
Founder · Engineer
Sydney, Australia
I build the automations, the products and the websites that STREaMLiNE delivers. That means the whole path: mapping how work actually moves through a business, designing the system, writing it, testing it, and handing it over documented enough to run without me.
My background is aeronautical and space engineering, which is where the habit comes from. Systems engineering teaches you to understand a whole system before you build the part that matters, then prove it works rather than assert it. That is the same discipline an automation needs, because a workflow that fails quietly is worse than one that never ran.
Roughly four continuous years of design, build and test work sits behind that: competition teams, an industry software internship, published research, and software delivered into a real business. That is hands-on engineering experience rather than full-time salaried tenure, and I will not dress it up as more than it is.
The Evidence
Applied AI, full-stack software, systems engineering and mechanical design share the same habits of understanding the whole system, building the part that matters and then test it properly.
A lead-capture and client-onboarding automation shipped into an Australian accounting practice and running in production. Enquiries land in a live dashboard, get answered automatically, and become a Xero client record without anyone re-typing anything.
Read the case studyA first-author paper at the International Astronautical Congress 2025, evaluating what model-based systems engineering actually does to a real engineering team. The same question became ASYST, the product.
Pavalachandran, A. (2025), IACLead Systems Engineer on the University of Sydney rover team, around thirty people across aerospace, mechanical, electrical, software and science. Ran the design reviews, owned the interfaces between subsystems, and built the traceability framework that kept them aligned.
A machine-learning colour-detection pipeline built during a software internship at Olly Timing, to suppress false alarms in race timing. Shipped into their workflow, not a notebook exercise.
Vision
The two-arm model, the principles behind every build, and what has not been built yet.
Work
Three systems live in an accounting practice: the site, the lead capture, and the onboarding into Xero.
Products
Rally-IQ, Kudos and ASYST. Built and run by STREaMLiNE, sold as products rather than projects.
The first conversation is a process audit, not a pitch. You leave with a ranked list of what is worth automating and what is not, whether or not you build it with us.