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Data, AI & automation

I build systems that handle the repeat work.

Cloud, data pipelines, and small web tools — the kind that keep helping after the handover. I enjoy work that holds up in the real world.

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About

Dhinesh Babu

I grew up in Chennai in a middle-class home — nothing fancy, plenty of heart. My dad worked in the South Indian music scene; my mum kept our home running. We didn't have spare money for everything, but we had room to ask questions and try things.

I was the kid who took things apart to see how they fit back together. Engineering in Chennai came next, then a Master's in Data Science at La Trobe in Melbourne — a big step I'm still grateful my family backed.

Using products like Alexa made AI feel real to me. I wanted to build things people could use, not only read papers about them.

Melbourne included a long lockdown and a slower season than I expected. Looking back, it pushed me to build better habits, look after myself properly, and choose my next move with more care. Sydney has been that next chapter — lighter, busier, and full of things I chose on purpose.

These days I train Brazilian Jiu-Jitsu and CrossFit — simple anchors that keep me steady. Shipping a real project end to end again reminded me how much I love the craft of building.

Work has taken me through a few different worlds — big tech, telco, measurement, agency. The thread stays the same: cloud, data, automation, and systems that still work the week after you ship.

I run Arivo Labs, where I help teams design and ship practical cloud, web, and data systems with clarity and long-term maintainability.

Projects

Work that made the week a bit easier.

Three examples. Each one was about less manual effort and fewer last-minute surprises.

Full write-ups

Services

Cloud, data, and web — built to last.

If your team does the same manual steps every week, I can help automate them. I offer these services through Arivo Labs, while you keep the interesting problems.

Cloud & DevOps

Teams that want reliability without hiring a big ops bench.

  • Infra as code so environments match
  • CI/CD that doesn't depend on one person
  • Monitoring and logs that help when things break
  • Handover notes so your team owns it

Fewer surprises, faster releases, something you can maintain.

Web & internal tools

Teams shipping products or tools people use daily.

  • Modern apps and internal dashboards
  • APIs that are easy to plug in
  • UI that stays fast and clear
  • Gradual upgrades from older stacks

Something users trust and engineers can extend.

Data pipelines & workflows

Teams tired of spreadsheet gymnastics.

  • Scheduled pipelines instead of manual exports
  • Automation with alerts when jobs fail
  • Clean models for reporting
  • Dashboards that update on their own

Data people can rely on without babysitting files.

Story

From tinkering as a kid to building for work.

Short version of the path — roots, study, and what I care about now.

Growing up in Chennai — childhood, home, or curiosity / tinkering mood.

Growing up

Curious kid

Chennai, humble home — I took things apart to learn how they worked.

Study chapter — university campus, engineering, or data science learning.

Study

Engineering, then data

Engineering in Chennai, then a Master's in Data Science at La Trobe in Melbourne.

Voice assistant or hands-free tech — tangible AI, not generic robot stock.

AI

Alexa moment

Voice assistants made AI feel tangible. I wanted to build, not only study.

Melbourne — quiet city mood, coffee, or reflective slower chapter.

Melbourne

A slower chapter

Lockdowns and a quieter life taught me patience and better habits — useful lessons I took with me.

Sydney harbour or city energy — fresh start, training, routine.

Sydney

Fresh start

Moved to Sydney, chose training and routine on purpose: BJJ, CrossFit, and a clearer head.

Cloud, pipelines, or platforms — telco / measurement / AWS automation mood.

Work

Pipelines and platforms

Telco and measurement work in Melbourne and Sydney — lots of AWS, automation, and making jobs repeatable.

Agency or shipping work — collaboration, shipping, data and automation.

Path

Still building

Sydney, agency-side work — still deep in data, automation, and shipping things that last.

Today — reliable systems, automation, teams getting time back.

Today

What I focus on

Reliable systems and automation so teams get time back for the work only people can do.

Beyond work

Training keeps me honest.

Optional — training, gym, or life outside the desk.

Outside of work I spend time on the mat and in the gym — Brazilian Jiu-Jitsu and CrossFit. They're a simple way to show up for myself, the same way I try to show up for a team at work.

Jiu-jitsu is patience and control under pressure. CrossFit is doing the work even when you're not in the mood — both translate back to how I like to build.

I'm at my best when something ships, people actually use it, and the docs are clear enough for the next person to improve it.

Contact

If that sounds right, say hi.

If you want to tighten a workflow, automate something, or talk through an idea, send a note. I also take on selected consulting projects through Arivo Labs.

Usually within a day.