Workspace & Stack

My Setup

A comprehensive list of the hardware, software, and development tools I use daily to build high-performance systems and AI-powered applications.

Hardware / Workspace

HP EliteBook 840 G10

32GB RAM, Intel i7 - My primary workstation for data pipeline dev.

Dell Ultrasharp 27" 4K

Dual horizontal monitors for deep multitasking.

Ubuntu 24.04 LTS

My OS of choice for its local Docker performance and engineering stability.

Development Tools

VS Code

Custom theme, JetBrains Mono font, and minimal extensions for speed.

Hyper Terminal

Zsh + Oh My Zsh + p10k theme for a custom technical experience.

Docker Desktop

Essential for microservices and database replication tests.

DBeaver

Universal database tool for managing my Postgres and ClickHouse clusters.

Software Stack

Next.js 16 (App Router)

The foundation of all my modern web applications.

Drizzle ORM

Replacing Prisma for better TypeScript safety and speed.

Neon

Serverless Postgres that scales with my data-heavy projects.

Tailwind CSS + Shadcn/ui

My go-to for building premium, responsive interfaces quickly.

AI & Data Engineering

OpenAI API

Used for embeddings and semantic reasoning in my applications.

Pinecone / pgvector

Vector databases of choice depending on the project scale.

Python / Pandas

The engine for my data analysis and pipeline prototypes.

The "Production-First" Philosophy

"I believe that an engineer's choice of tools directly influences the quality of their output. My setup is optimized for three things: speed, stability, and observability. If a tool doesn't make the feedback loop shorter or the system more reliable, it doesn't make it into the stack."

Performance
Stability
Scale