Dhruv Nirmal.
Data & AI Engineer · Melbourne, Australia · open to remote

Dhruv Nirmal

I build agentic AI systems and the data platforms they run on.

Two-plus years turning messy enterprise data into production pipelines, ML models and LLM-driven automation — currently a Data Engineer at Comprara Group, heading deliberately toward applied LLM / agentic AI engineering.

Selected work Get in touch
Dhruv Nirmal
20+
ETL pipelines running in production
~A$2M
saved for a single client in one category
6M+
invoice rows processed weekly, 13 regions
1st
place, internal company AI hackathon

Selected work

All 8 projects →
Personal build

Facit

A multi-tenant SaaS that unifies a café's POS, wages and 14 suppliers' invoices into one weekly profitability pulse.

Multi-tenant SaaSMulti-source integrationRevenue forecastingMenu engineeringBI
View project Turns unintegrated POS, payroll & supplier data into a Monday-morning decision
Personal build

Job Hunt OS

A single-user, file-based career-search OS that runs natively on Claude Code — an orchestrator plus specialist agents.

View project Orchestrator + 3 specialist agents over a plain-file data model
Client work

ML spend-categorisation engine

A one-vs-all text classifier that categorised ~A$12B of client spend across five years, with a Pareto split.

View project Cut a 1–1.5 month task to a single day's model run
Client work

Pricing & margin analytics

Pricing and cost-leakage analysis across ~3,000 menu items for a multi-venue hospitality group, down to venue and supplier level.

View project ~30% (~A$2M) saved in a top category over a year
Client work

Agentic report generation

An agentic workflow that turns raw analytics outputs into structured client progress reports, rolled out company-wide.

View project ~12–15 hours saved across the team, every week

About

Full background →

I'm a data engineer based in Melbourne, two-plus years into building the unglamorous plumbing that analytics actually runs on — 20+ automated ETL pipelines moving millions of transactions a month for five enterprise clients across Australia and New Zealand.

Lately the work has pulled toward AI: multi-agent data-QA workflows, agentic report generation, an LLM call analyzer that won our internal hackathon, and a job-search OS I built end-to-end on Claude Code. I'm heading deliberately toward applied LLM / agentic AI engineering.

Data engineering
  • Python
  • SQL
  • ETL pipelines
  • Snowflake
  • Data modelling
  • Feature engineering
  • KNIME
Machine learning & AI
  • scikit-learn
  • LLM & agentic workflows
  • Multi-agent orchestration
  • Prompt engineering
  • Forecasting
  • Anomaly detection
  • PySpark
Cloud & infrastructure
  • Azure
  • AWS
  • Databricks
  • Terraform
  • Docker
BI & visualisation
  • Power BI
  • Tableau
  • Data storytelling
  • KPI analytics
Let's talk

Building something with data or AI?

dhruvnirmal2111@gmail.com

Open to remote data & AI roles — Australia, India, and the Gulf / Singapore. Currently in Melbourne, relocating to India.

LinkedIn GitHub