What I Actually Use
Here is the stack of languages, frameworks, cloud services, and developer tooling I rely on daily to ship reliable software.
Languages & Core
The tools I reach for to build logic that actually works.
Daily driver for typed web apps and interfaces
Browser extensions, DOM manipulation, scripting
Data scripts, automation, AI agent experiments
Automation, Linux scripting, quick server tooling
Relational data modeling and Row-Level Security policies
Frontend & Frameworks
Building fast, responsive, and tactile web interfaces.
Component architecture and state management
Server components, SSG, routing, SEO
Design systems, micro-interactions, responsive design
Smooth fluid animations and layout transitions
Shadow DOM isolation, background service workers
Backend & Infrastructure
Databases, security rules, and serverless backends.
Auth, Edge functions, PostgreSQL hosting
Multi-tenant data isolation at the DB layer
Backend APIs and serverless workflows
Document storage for log parsing experiments
AI & Machine Learning Tooling
Practical AI integration without the hype.
Structured rubric evaluation, resume scoring, extraction
Local inference and privacy-first document analysis
Browser-based optical character recognition for lab PDFs
Agentic workflow automation and prompt chaining
System & Workflow
My daily developer environment.
Preferred OS environment for deep tweaking and terminal speed
Version control, open-source projects, PR workflows
UI wireframing and product prototyping
API testing and payload debugging
Stack Choices & Opinions
Postgres RLS > App Logic
Securing data at the database layer means accidental buggy frontend queries physically cannot leak another user's data.
Client-side OCR for Health
In Digital Clinic, parsing lab PDFs in the browser guarantees patient documents never touch a remote third-party server.
Shadow DOM for Extensions
In InfoBlend, using Shadow DOM walls off the UI so website CSS never breaks the extension and vice versa.
Want to talk tech or build something?
Always happy to talk about Linux, AI pipelines, or software architecture.