Developer · Data Practitioner · Builder

Turning data into systems that work.

I build data pipelines, automation platforms and AI-powered applications with a focus on reliability, clarity and useful outcomes.

Open to opportunities Data · Deep Learning · Cloud · AI · Python · SQL
DATA / SYSTEMS 01
PIPELINE99.8%
BUILD→
Scroll to explore

01 / Perspective

Good technology should make complexity easier to understand.

My work sits at the intersection of software engineering, data engineering and applied AI: Building practical systems that move information from raw inputs to decisions and useful experiences.

02 / About

A builder with a data-first mindset.

From backend systems to analytics and intelligent applications, I enjoy solving problems where data, engineering and product meet.

JN.

I am a developer and data practitioner focused on building dependable software around data.

My projects span data pipelines, databases, APIs, cloud infrastructure, automation and AI-assisted workflows. I care about clean architecture, reproducible processes, data quality and systems that are straightforward to operate.

FocusData & Software
ApproachBuild · Measure · Improve
CurrentlyGrowing in Cloud & AI

03 / Capabilities

Tools are useful.
Systems are the goal.

A practical toolkit built around data, backend engineering, automation and modern AI workflows.

01

Data Engineering

ETL/ELT pipelines, data modelling, transformation, validation and analytics-ready datasets.

PythonSQLPandasdbt
02

Backend & APIs

Reliable services and integrations designed around clear interfaces, databases and automation.

FastAPIPostgreSQLRESTDocker
03

Cloud & Infrastructure

Cloud-native data workflows with infrastructure that is repeatable, observable and maintainable.

AWSS3GlueAthena
04

AI & Applied ML

Practical AI systems combining multimodal models, retrieval, computer vision and automation.

RAGLLMsComputer VisionPyTorch

04 / Selected work

Projects built to
solve real problems.

A selection of engineering and data projects demonstrating systems thinking, automation and applied AI.

01

Data Engineering / Cloud

Serverless Data Lake

Cloud-based data architecture using object storage, cataloguing and SQL analytics for scalable data workflows.

AWS S3GlueAthenaTerraform
↗
02

Data / AI / Backend

Healthcare Facilities Intelligence

ETL, search and AI-assisted retrieval over healthcare facility data, exposed through a production-oriented API.

PostgreSQLdbtFastAPIRAG
↗
03

Automation / APIs

Podcast Audio Transcription

An automated workflow for transcribing podcast audio using OpenAI and HuggingFace APIs, with a backend API for retrieval and search.

FastAPIPostgreSQLOpenAIHuggingFace APIs
↗

05 / Journal

Ideas, experiments
& lessons learned.

Notes on data engineering, software, AI and the process of turning technical ideas into working systems.

DATA ENGINEERING · 01

Designing pipelines that can be trusted

Why data quality, observability and reproducibility belong in the pipeline from the beginning.

Read article ↗

AI · 02

From multimodal models to useful applications

Thinking beyond model inference: validation, confidence, structured outputs and production workflows.

Read article ↗

ENGINEERING · 03

Building software around the data lifecycle

A practical look at connecting ingestion, storage, processing, APIs and the people who use the result.

Read article ↗

06 / Contact

Have a problem
worth building around?

Let's talk about data, software, AI or an interesting problem that needs a practical solution.