I build what sits inside an AI agent, minus the model itself. Memory across sessions, retrieval over private knowledge, orchestration, and the UI a team actually uses. Right now I'm doing this for a consulting team in Brisbane.
Master of IT (Data Analytics) from Griffith University, Brisbane. Computer Science undergrad from India.
Six roles since 2021 across data analyst and AI builder work in India and Australia. Currently building an end-to-end multi-agent system in production.
Temporary Resident with full work rights in Australia. Based in Brisbane, open AU-wide.
He has already shipped the exact thing the role asks for. An orchestrated multi-agent system, in production.
He understands the consulting motion from the inside. Past roles cut 30% of manual work and saved $20K+ in prospecting costs.
He covers the full stack, from messy data, through retrieval and orchestration, to the UI a consultant will actually open.
Want to start a conversation?
⌘↵email revanthBuilt from my actual CV. The data is real, the agents are illustrative.
Started in spreadsheets. Building agents now.
I'm Revanth. I started where most data analysts start: cleaning messy spreadsheets, building dashboards nobody asked for, and trying to turn vague business problems into something a stakeholder could actually act on. I did my Computer Science degree in India and my Master's in IT at Griffith in Brisbane, then worked in a few analyst roles where I learned one thing. It's more useful to understand the business well than to be the fastest with the data. That habit turns out to be exactly what AI agent work needs.
At BAPL I'm building an end-to-end AI agent system for a consulting firm. Work that used to start from scratch each time now runs through a set of agents, each owning one part of the workflow and sharing memory, so a consultant can pick up exactly where the previous one left off. The team delivers work faster, and the firm can take on more without growing headcount.
The way I think about AI work is simple. We don't train the brain. We use one that's already trained. What I build is everything that sits around it. The memory that carries across sessions. The retrieval that finds the right knowledge at the right moment. The controls that decide who can see what. The orchestration between agents. The interface a consultant will actually open. I figured this out the first time I built a dashboard. The data on its own wasn't worth much. The system around it was what made it useful. AI agents work the same way. I'd rather build things that keep working when nobody is watching them.
Where I'm headed
Right now I'm doing this for one consulting firm. Next, I want to make the same pattern work across more domains, so it becomes the kind of backbone a services business runs on rather than a one off experiment. Longer term, I want to be the person companies call when they need AI that actually plugs into their existing systems and delivers real results, instead of a demo that never ships.
Certifications & Programs
Same brain. New stack.
The first half of the job didn't change. Only the deliverable did.
Then (analyst)
Understand the business problem
Find the relevant (always messy) data
Clean it, model it, build the dashboard
Hand it over so a human can decide
Now (AI builder)
Understand the business problem
Map the process and the existing knowledge
Design and orchestrate the AI agents
Agents do the work. Humans stay in the loop
The highlighted dots mark the parts of the job that carried over.
Not vanity metrics. Real outcomes.
I measure every project by what changed once I was done, not by how busy I was while doing it.
Leads in the First Month
Company website designed, built and shipped in one day at OZWIND
Manual Work Eliminated
Automated onboarding, rostering & payroll workflows at OZWIND
Prospecting Costs Saved
Market analysis across 85K+ companies at TechReady Blocks
Records Crunched
Patent & inventor data mined for emerging tech identification
Viewer Retention Boost
Data-backed YouTube content strategy that actually worked
Stuff I've actually built
From AI agents that run business operations to dashboards that changed how teams make decisions.
Multi-Agent System · Orchestration · Knowledge Layer · Access Control
End-to-End AI Agent System for a Consulting Firm
An orchestrated system of AI agents that lets a consulting team pick up exactly where they last left off. Each agent owns one part of the workflow and they share session memory, so the team is not starting from scratch each time. Orchestration, a shared knowledge layer, and role based access control tie the system together.
Each step of the workflow has a dedicated agent, with humans in the loop at every decision point that needs judgment
Session memory lets the team resume any piece of work without losing context
Role based access, so each agent only sees what the user is allowed to
Designed to keep working when nobody is watching it, not as a one-off demo
AI-Assisted Development · Web Design · Dynamic Forms
Q Labour Group Company Website
Built a full company website in a single day using AI-assisted workflows. Not a template. A proper site with dynamic forms for lead capture and expression of interest collection. It went from "we need a website" to live in under 24 hours.
Designed, built, and deployed in just 1 day with AI-assisted development
120+ expressions of interest captured in the first month
Dynamic forms streamlined both client and candidate onboarding
Established online presence across Brisbane, Gold Coast & Sunshine Coast
Power BI · DAX · Data Visualisation
Customer Support Cases Dashboard
Dug into 10,000+ support tickets to find where things were breaking down. Which severity levels were bottlenecked, which regions were underserved, and where escalation paths were failing. Built drill-through visuals so managers could self-serve instead of asking me every time.
Found quarterly backlog patterns that nobody had noticed
Proposed escalation redesigns projected to cut response times by 15 to 20%
Gave managers a self-service dashboard so they could stop waiting on reports
Power BI · Web Analytics · KPI Tracking
Web Marketing Analytics Dashboard
Tracked 418K+ sessions worth of web traffic: bounce rates, pageviews, device breakdowns, the works. Built a multi-tab dashboard with cockpit views for quick decisions and deep-dive tabs for when the marketing team wanted specifics.
Tracked 325K+ unique pageviews across desktop, mobile, and tablet
Pinpointed the top-performing pages and where traffic was actually coming from
Gave the marketing team data to back their content and channel decisions
Power BI · Sales Analytics · Profit Margin Analysis
Woolworths Sales Analysis Report
Analysed $1.35M+ in sales across NSW and Victoria, including profit margins by city, team performance, category breakdowns, and year-over-year trends. The goal was to find where money was being made and where it was being quietly lost.
Revealed $325K total profit with 12.7% margin across regions
Identified which teams and employees were actually driving revenue
Surfaced loss-making locations that needed a strategic rethink
The path here
From cleaning spreadsheets in Chennai to building AI agents in Brisbane. Every role along the way taught me something I still use.
Business Analyst
Business Analysis Pvt Ltd (BAPL) · Brisbane, QLD
↗ Building an end-to-end AI agent system that runs business operations
- Designing AI agents, each one scoped to a specific business area with its own data pipeline and security boundary
- Connecting company knowledge sources so agents can read them in place, without moving files
- Setting up role based access so the right people access the right agents, with no exceptions
- Mapping out agent-to-agent orchestration so workflows can hand off across teams automatically
Data Analyst
OZWIND (Q Labour Group Subsidiary) · Brisbane, QLD
↗ Cut manual HR processing by 30% through automation
- Built a Smartsheet–Xero integration that gave the team actual visibility into operations for the first time
- Shipped a company website in one day using AI-assisted workflows. It pulled in 120+ leads in the first month
- Ran cross-team workshops to nail down requirements and write SOPs that people actually followed
- Combined analytics with automation to fix workforce management headaches
Business Data Analyst
TechReady Blocks · Sydney, NSW
↗ Saved $20K+ in prospecting costs by digging through 85K+ companies
- Built Power BI dashboards that executives actually used to prioritise investments
- Mined 2M+ patent records to spot emerging technologies before the competition
- Grew YouTube viewer retention by 4.6× with data-backed content strategy
- Translated technical data outputs into language that business teams could act on
The toolkit
The work sits in four places: the agents, the business process underneath them, the data, and the controls that keep it all safe.
AI & Agents
Business Process & Automation
Data & Analytics
Security & Governance
Let's connect
Open to AI engineering, AI agent development, and data + automation roles across Australia. Also available for freelance AI agent and dashboard builds.
Get in touch
Phone
+61 424 847 302Location
Brisbane, Queensland, Australia