Available for new partnerships·AI & Data Build Partner · Melbourne, AU

I turn complex datainto decisions thatmove businesses.

Data drives decisions… Decisions drive results.
Building AI automation, data pipelines, BI dashboards, and LLM integrations — for teams that want outcomes, not just outputs.

Build together. Grow together.

Experience with
Monash UniversityNational Australia BankTimes InternetInfosys

// 9+ years across enterprise, university, and startup environments

0%
Referral capture rate
Dietitian referral system
30-day
KPI review included
Every engagement, no exception
0+ yrs
Building data systems
Enterprise + startup + healthcare
1st 🏆
Best Solution Award
Hackathon 2024
Selected Work

Projects that moved the needle

Real outcomes from real systems — every project has a measurable result attached.

Case Study
Healthcare · Allied-Health
Dietitian Referral Intelligence System
5+ hrs/week of referral admin, automated. Zero referrals missed since go-live.
View case study →
The Partnership Promise

What every engagement includes

🔍
Discovery First
I understand your business before writing code.
📊
30-Day KPI Review
Live dashboard + monthly performance check-in.
🎓
Team Enablement
Your team owns what we build. Always.
🔄
Ongoing Support
Optional retainer for monitoring and enhancements.
What I Offer

What I can build for your business

For founders, product teams, and agencies who want AI and data as a real advantage.

01

AI Automation Solutions

Replace repetitive work with intelligent agents

Agentic AI workflows (CrewAI, LangChain), GPT-4 integrations, intelligent chatbots, document AI, and automated decision pipelines tailored to your business.

Best for: Businesses wanting to automate repetitive knowledge work
LangChainCrewAIGPT-4FastAPIPython
02
🔧

Data Engineering & Pipelines

Turn your data chaos into reliable infrastructure

ETL pipeline design, cloud data architecture (Azure/AWS/GCP), real-time streaming with Kafka and Spark, and Airflow orchestration — built to scale.

Best for: Companies drowning in data but not using it
Apache AirflowSparkKafkaAzureAWSDocker
03
📊

BI Dashboards & Analytics

Insights your team will actually use

Power BI dashboard design with complex DAX measures, Looker Studio reports, KPI frameworks, funnel analysis, and statistical forecasting.

Best for: Teams that need faster, data-backed decisions
Power BIDAXLooker StudioPythonSQL
04
🔗

AI Integration Consulting

Find where AI fits in your business

Audit your existing tools, identify high-value AI entry points, connect LLMs to your stack via APIs, and build a practical GenAI roadmap.

Best for: Founders and leaders exploring where AI fits
OpenAI APILangChainREST APIsPythonAzure

Like the referral intelligence system I built for a healthcare practice in Melbourne — automated, AI-powered, live on day one.

“Every partnership is priced around your scope and outcomes. No fixed rates because no two builds are the same. Start with a free Discovery Call — I'll tell you honestly if we're a fit.

About Naval

The engineer behind the data

Naval Aggarwal

I'm Naval — an AI and Data Engineer based in Melbourne. I came from Electronics Engineering in Delhi, fell in love with data at Times Internet, then did my Master of Data Science at Monash University.

Since then I've built production ML systems, enterprise data pipelines, award-winning AI prototypes, and Power BI dashboards that actually get used. I work best at the intersection of technical depth and business outcome.

I'm not just interested in building the model. I want to know what decision it enables and whether that decision made things better.

I believe partnerships are built on trust — and trust is built on doing what you said you'd do, then a little more. Every system I build is designed to keep working long after I step back. That's not a feature — that's my definition of a job well done.
Beyond the Terminal

Data drives what I build. But sketching is how I think. There's a connection between drawing patterns on paper and finding patterns in data — both are about learning to see clearly before you act. This is the part of me that clients say makes me a good partner: I bring a builder's craft to technical work.

Sketch by Naval Aggarwal
Sketch by Naval Aggarwal
Sketch by Naval Aggarwal
How I Work With Clients
01
Discover
Understand your problem before touching a keyboard
02
Design
Architecture and tech plan, shared before we build
03
Build
Sprint-based development with regular check-ins
04
Deliver
Full handover with documentation

What partnership looks like with me

I ask questions before I write code. Most engineers reach for the tech stack in the first meeting. I ask about your business, your team, and what “successful” actually looks like. Then we build backwards from there.

I stay accountable to outcomes. Every engagement includes a 30-day performance review with a live KPI dashboard. If something isn't working, we know within a month — not a year.

I train your team to own what we build. My goal isn't to make you dependent on me. It's to leave your team more capable than when I arrived. Every project includes documentation, walkthroughs, and knowledge transfer.

Programming
PythonSQLJavaRJavaScriptDAX
AI & Machine Learning
LangChainCrewAIGPT-4LSTMXGBoostBERTHuggingFace
Data Engineering
AirflowSparkKafkaETLPySparkFastAPIDocker
Cloud
AzureAWSGCPDatabricksJenkinsCI/CD
Business Intelligence
Power BIDAXLooker StudioData Visualisation
Soft Skills
Client ManagementProject ManagementAgileTechnical Writing

Book a Discovery Call

30 minutes. Free. No pitch. Just a real conversation about your data or AI challenge — and my honest opinion on the best path forward, whether that involves working with me or not.

// I take on a limited number of new partnerships each quarter — book a call so we can understand if we're a fit.

Build something together

Whether you have a project in mind, a data problem you're stuck on, or want to explore what's possible with AI — I'd love to hear from you.

// Typically reply within 24 hours