Engineer · Data · Automation · AI

About

I’m Luis Faria, a software and data engineer based in Sydney. For 10+ years I’ve built systems that turn manual, messy processes into automated, measurable products — across healthcare, marketing agencies, and tech.

I led technical projects and delivered custom ERP/CRM platforms for a 20+ clinic healthcare group serving 1M+ client records, then built Konquista, a Django + Celery/Redis automation platform pushing 30K+ WhatsApp messages a month across clinics. After relocating to Sydney, I moved deeper into data and software engineering.

Today I build data systems at St Catherine’s School, Sydney — SQL Server pipelines and Power BI reporting that give staff reliable, decision-ready numbers in a regulated educational environment.

I’m completing a Master of Software Engineering with AI, and I keep the learning applied: secure cloud architectures on AWS, a self-hosted Apache Superset BI deployment, applied machine learning (scikit-learn, CRISP-DM), and LLM tooling on OpenAI and Claude. I build in public — shipping, writing, and sharing the wins and the scars.

Sydney, Australia

Currently

Building data systems at St Catherine’s School, Sydney — SQL Server pipelines and Power BI reporting — while completing a Master of Software Engineering with AI. I keep the coursework applied: secure cloud architectures on AWS, a self-hosted Apache Superset BI deployment, applied machine learning (scikit-learn, CRISP-DM, Spark), and LLM tooling on OpenAI and Claude — much of it open-sourced in my Master’s repo (1,100+ commits, mostly Jupyter notebooks).

What I do

Software Engineering

Full-stack apps and internal systems, designed and shipped end-to-end.

Next.jsReactNode.jsGraphQLPythonTypeScript

Data Engineering

Pipelines, reporting and BI that turn raw data into decisions people trust.

SQL ServerPostgreSQLPower BIApache SupersetETL

Automation & DevOps

Removing manual work with workflows, CI/CD, and observability.

DockerGitHub ActionsCelery / RedisNginxSentry

AI / ML

Applied ML and LLM-powered tools — scikit-learn models, RAG assistants, and AI-augmented delivery.

scikit-learnOpenAIClaudeRAG / assistantsCRISP-DMStanford MLMSWE + AI

Tools I work with

Software

TypeScriptReactNext.jsNode.jsExpressApollo ServerGraphQLREST APIsPythonDjangoFlaskFastAPI

Data

SQL ServerPostgreSQLPower BIApache SupersetSparkpandasRedisSupabase

Automation & DevOps

DockerGitHub ActionsCeleryNginxSentry

AI / ML

scikit-learnOpenAIClaudeRAGCRISP-DMCopilotCodex

Let’s connect

See my work