A spark for tech.
A drive to help.

A love of technology brought me here. A passion for helping people and adding value to their lives keeps me building, learning, and becoming.

Explore my work Find me on GitHub

Curious by nature. An engineer by practice.Always building with people in mind.

A little of how I think↗

Tools that help people reason, compare, and act.

Explore SideBySide

Some of the tools
behind the work

TypeScript

JavaScript

React

Next.js

Node.js

NestJS

Express

Python

Django

FastAPI

Java

Playwright

Cypress

Selenium

JMeter

Locust

Postman

Docker

Kubernetes

Terraform

Ansible

AWS

Azure

Linux

GitHub

GitLab

Jenkins

MySQLPostgreSQLSupabaseLangChainClaudeXcode

REST APIs

Bootstrap

Tailwind CSS

Material UI

SonarCloud

Snyk

Veracode

TryHackMe

Beautiful Soup

Selected work

Ideas made tangible.

A few things I’ve built at the intersection of intelligence, reliability, and everyday usefulness.

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AI & agents

SideBySide

A local workbench for finding the right model, gateway, and agent setup for the job.

Next.js
TypeScript
Docker
MCP

Behind the build

The problem: Comparing AI gateways means juggling configurations, responses, costs, and decisions across disconnected tools.
The approach: Built a shared playground for model comparisons, benchmarks, MCP exploration, and Docker-based coding-agent sandboxes.
What it enables: Prompts, run history, and model decisions stay together in a local workspace, with agent experiments isolated from everyday CLI settings.

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AI & agents

QA Agent

From a user story to browser validation, with explicit checks behind every result.

TypeScript
Playwright
Cypress
LLM tooling

Behind the build

The problem: AI-generated test steps need execution control and verification before their results can be useful.
The approach: Separated agent reasoning, deterministic orchestration, and verification into a modular TypeScript harness, with recovery and code generation.
What it enables: The harness produces execution reports and generated Playwright or Cypress tests. LLM generation is optional, with built-in templates as a fallback.

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Products & platforms

ReportArch API

A home for automated test reports, organized around the teams and projects that need them.

Express
MongoDB
AWS S3
DynamoDB

Behind the build

The problem: Test reports need to be stored, organized, and retrieved beyond an individual test run.
The approach: Built an Express API covering organizations, projects, suites, report uploads, users, authentication, and API keys.
What it enables: A backend for archiving and viewing reports, using MongoDB alongside AWS storage services.

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How I can help