Engineering & Exploration

A curated collection of open-source solutions and technical explorations.

This is a space for innovation, where architectural strategy meets hands-on implementation. From micro-conditional engines to legacy data parsers, each project is a battle-tested solution born from a passion for solving complex software challenges.

The Flagship

The Illogical Ecosystem

A micro conditional engine for parsing and evaluating raw logical expressions, built to solve the recurring problem of sharing complex business logic between clients, services, and edge functions without redundant implementations.

A cross-platform standard written for
High-Level Languages (TS/Py/C#/Java)•Systems Languages (Go/Odin/Zig)

The Illogical Ecosystem

A micro conditional engine used to parse raw logical and comparison expressions. It evaluates expressions in a given data context, ensuring consistent logic across your entire stack.

Implementations

TypeScript Python Go C# Java Odin Zig
Platform Engineering

The Nexus Grid

Internal developer sandbox fostering engineering collaboration. A polyglot microservices platform where teams build utilities for peers, experiment with AI tooling, and create an evergreen onboarding playground.

Nexus Grid Platform

Internal Developer Sandbox • Tactable Engineering

Modular utility platform for engineering team. Bring Your Own Language philosophy enables polyglot microservices. Each engineer builds tools peers use.

Serverless backend functions (GCP Cloud Functions) + React frontend. Auto-deploy via Terraform. Teams work parallel, zero conflicts.

⚡ GCP Cloud Functions🏗️ Terraform IaC⚙️ GitHub Actions CI/CD🔐 Google SSO Auth

Core Objectives

  • Build Useful Utilities:Unified platform for small tools. Daily workflow automation, custom processors, internal aggregators.
  • Master AI Tooling: Active lab for AI-assisted dev. GitHub Copilot experimentation in real-world collaborative setting.
  • Evergreen Sandbox: Ultimate onboarding playground. Safe environment for new hires to commit code, learn CI/CD, see utilities go live.

Tech Stack

FrontendReact 19 + Vite
UI Frameworkshadcn/ui
BackendCloud Functions
InfrastructureTerraform
Package ManagerBun
LinterBiome

Platform Stats

25+
Active Utilities
7
Language Runtimes
100%
Serverless
∞
Scalability

Modular Architecture

Backend Functions

Independent micro-utilities. Any language. Isolated functions.

Node.jsPythonGoJavaRuby.NETPHP

Proxy API

Central nervous system. Function registration. Route handling.

Cloud Run

Frontend Widgets

Self-contained UIs. Plug into central dashboard. React components.

React + Vite

Engineering Impact

Zero
Deployment Bottlenecks

Config-driven auto-deployment. Teams work parallel.

∞
Language Freedom

Node.js, Python, Go, Java, PHP, .NET, Ruby support.

100%
AI-Assisted

Active GitHub Copilot experimentation lab.

Engineering Culture

Nexus Labs: The Assist

A two-day sprint where sixteen engineers each built a tool or agentic system to pay down their own daily tax: the repetitive triage, status updates and manual toil that quietly eat a week.

Nexus Labs: The Assist

2-Day Engineering Sprint • Tactable Engineering

Every engineer pays a personal tax: the same triage, the same status update, the same boilerplate PR comment, the same "let me dig up that log again."

The Assist is a lab where each engineer builds a tool or agentic system that pays down their own daily tax. No client constraints, no team-wide project to coordinate, just a real annoyance from your week and the AI tooling already on your machine.

🧑‍💻 Solo Build🎤 Peer Showcase🤖 Copilot & Claude📦 Shared Cohort Repo

The Brief

  • Make It Real: Target friction in your actual daily work: a repetitive task, a request you keep fielding, recurring manual toil. It doesn't need to be big; it needs to be real.
  • Ship Tooling, Not Prompts: Build actual tooling or an agentic setup, not a prompt you ran once. A working demo on Day 2, never just slides.
  • Leave It Behind: Bonus points when the build serves peers too: a shared script, a reusable agent config, a small internal tool committed to the cohort repo.

Quick Facts

Duration2 Days
FormatSolo + Demo
Cohort16 Engineers
Slot Length12–15 min
ToolingCopilot / Claude

Lab Stats

2
Days End-to-End
16
Parallel Builds
2
Tooling Tracks
1
Shared Repo

The Two-Day Format

Day 1 · Build

Solo build

  • 09:30Kickoff: brief, scope, expectations, where to get help, then go build.
  • 10:00Heads-down individual build time. No scheduled syncs for the rest of the day.
  • EODProgress, blockers and wins posted to the lab channel. Pairing encouraged, never required.

Day 2 · Showcase

Full team

  • ~8 minDefine the problem, walk through the solution, live demo.
  • ~5 minQ&A from peers, hard cutoff to keep the day honest.
  • ScaleSingle track fits ~20 people into one day; two parallel rooms halve the runtime as the cohort grows.

What Came Out of It

Sixteen independent builds, each aimed at a different personal tax. Clear clusters emerged without anyone coordinating them.

Knowledge Retrieval

Agents that answer "how does X work" over Confluence, project docs and system internals, so the same question stops landing in the same inbox.

Diagnosis Assistants

Stack-trace and deployment-failure explainers that surface a root cause and a recommended fix, grounded in a library of bugs already solved.

Status Synthesis

Weekly digests and meeting-note generators stitched from commits, tickets and transcripts, reconstruction work nobody should do by hand.

Review & Code Hygiene

Standards-aware review skills and a triage CLI that ranks stale TODO/FIXME markers by relevance and severity instead of dumping all of them.

Context & Memory

Ticket-scoped working memory over MCP: logging decisions, rejected alternatives and reversals so the reasoning survives to PR time.

Scaffolding & Publishing

Template repos for one-day POCs, plug-and-play project knowledge bases, and a skill that pushes Markdown straight from the editor to Confluence.

What the Format Gets Right

Own
Problem, Own Motivation

Scratching your own itch removes the need to sell anyone on the brief.

48h
Forces Real Scope

A demo deadline two days out kills gold-plating before it starts.

16×
Tooling Reps at Once

The showcase spreads sixteen engineers' hard-won AI lessons in one sitting.

AI & Simulation

Project: Space Wars

An interstellar arena where engineers program AI bots to pilot spaceships, competing in a battle of wits, strategy, and coding prowess.

Space Wars was conceived as a team-building exercise and internal coding jam designed to fortify our collective passion for technology. It's an interstellar arena where engineers program AI bots to pilot spaceships, competing in a battle of wits, strategy, and coding prowess. More than a game, it's a laboratory for rapid iteration, collaborative problem-solving, and celebrating the joy of engineering.

View Project on GitHub

Technical & Strategic Highlights

Polyglot & WASM Integration

Engineers implement SpaceshipManager interface in any language that compiles to WASM (or use pure JS/TS), fostering a polyglot environment.

Complex Decision-Making

Bots must manage a dynamic arsenal of engines, lasers, and rockets, requiring complex, real-time strategic programming.

Physics-Based Simulation

The arena includes environmental hazards like asteroids, demanding skillful pathfinding and collision avoidance algorithms.

Rapid Iteration Loop

The game loop provides immediate feedback, encouraging engineers to quickly analyze, tweak, and redeploy their strategies.

Competitive Collaboration

While competitive, the format encourages knowledge sharing as teams observe and learn from the success of different strategies.

A catalyst for fortifying the collective passion for technology.

The Utility Belt

Architectural Tooling

Specialized libraries for specific architectural challenges. Each tool solves a distinct problem in modern software development.

TypeScript

Data Integrity

WeGood

Shared validation logic designed to ensure data integrity across distributed systems. It creates a single source of truth for validation rules shared between UI and API.

View on GitHub
TypeScript

Search Algorithms

Librarian

A micro search library leveraging Boolean Operators. It supports wildcard annotation within search terms, enabling powerful in-memory search for lightweight applications.

View on GitHub
Python

Legacy Integration

X12 Parser

A robust parser for the X12 EDI standard. It handles the complexity of X12 loops and segment-based schemas, bridging the gap between modern Python data structures and legacy financial/health data.

View on GitHub
Go

Developer Experience

ApiDoc

A generator that transforms Go source files directly into OpenAPI v3.0.2 (Swagger) specifications. Keeps documentation strictly in sync with code implementation.

View on GitHub
Svelte

Frontend Routing

Svelte Router

A declarative, component-based router for Svelte, inspired by React Router. It provides a simple and powerful way to handle routing in Svelte applications.

View on GitHub
Svelte

Frontend Tooling

Svelte Form

A lightweight model handler for Svelte, streamlining input validation and state management for complex forms.

View on GitHub
Digital Archaeology

Project: Pac-Man

A recreation of a classic, built to inspire and educate. A testament to the timeless engineering principles that underpin the craft of software.

A deep dive into the heart of a classic. This implementation of the 1980s Pac-Man was an educational exploration, meticulously recreating the iconic game mechanics and ghost behaviors from publicly available materials. It stands as a tribute to the timeless engineering principles found in the jewels of early software development, a source of inspiration for aspiring engineers to see how a passion for the craft can translate into tangible, interactive history.

Explore the Archaeology on GitHub

A Commitment to the Craft

7+
Programming Languages
5
Architectural Tools
1
Cross-Platform Standard
∞
Problems Solved

Each project represents a commitment to solving real-world architectural challenges. From high-level abstractions to systems programming, this work showcases how strategic thinking translates into production-ready solutions across diverse technological contexts.