P
About
The engineer behind the stack.
I bridge data pipelines, machine learning and cloud infrastructure with the web applications people actually use — one stack, three disciplines, built end to end rather than handed off between specialists.
How I work
Every build gets framed the same way.
Rather than a feature list, every project — mine or a client's — gets broken into the same three questions before a line of code ships.
- S — Stack
What is this actually built with, and why that choice over the obvious alternative?
- A — Architecture
How does data actually move through the system, end to end?
- D — Deployment
How does it ship, stay up, and get monitored once it's live?
What I do
Three disciplines. One build.
Layer 01
Data Science & Engineering
- Data PipelinesETL — extract, transform, load — built with Python and Django.
- Machine LearningRegression, clustering and NLP models built to solve business problems.
- Analytics & VisualizationInteractive dashboards built with Streamlit, or integrated into React apps.
Layer 02
Full-Stack Web Development
- FrontendNext.js (App Router), React and Tailwind CSS.
- BackendHigh-performance APIs with FastAPI, or robust systems with Django.
- Dynamic UIFeeding data from a database straight into a modern frontend.
Layer 03
Cloud Architecture & DevOps
- AWS InfrastructureSolutions-architect thinking across S3, EC2, Lambda and RDS.
- DeploymentAutomated deploys and hands-on management of cloud environments.
