AI Automation Engineer • Certified Prompt & Python Developer

Engineering the Next Generation of AI Business Systems

Engineering the Next Generation of AI Business Systems

We architect end-to-end automation pipelines and custom Python solutions. Leveraging six years of enterprise finance logic, we build high-ROI systems like Immi-OS, that transform manual bottlenecks into scalable assets.

We architect end-to-end automation pipelines and custom Python solutions. Leveraging six years of enterprise finance logic, we build high-ROI systems like Immi-OS, that transform manual bottlenecks into scalable assets.

Technical GitHub

Technical GitHub

Technical GitHub

Technical GitHub

Flagship Project: Business Operating System

Immi-OS: The Intelligent Immigration Operating System

Immi-OS: The Intelligent Immigration Operating System

A full-cycle 'Digital Secretary' engineered for Canadian immigration firms. Immi-OS orchestrates a complex tech stack to automate lead intake, qualification, and multi-channel communication, scaling firm capacity without increasing headcount.

A full-cycle 'Digital Secretary' engineered for Canadian immigration firms. Immi-OS orchestrates a complex tech stack to automate lead intake, qualification, and multi-channel communication, scaling firm capacity without increasing headcount.

Orchestration: n8n & Make

OpenAI

Bland.ai

The Business Impact:

The Business Impact:

By replacing manual screening, document drafting, and compliance checks with deterministic AI logic, Immi-OS recovers over 22 hours of billable time per week. This generates a projected annual value of $165,000 for the firm, scaling operational capacity with zero increase in payroll.

By replacing manual screening, document drafting, and compliance checks with deterministic AI logic, Immi-OS recovers over 22 hours of billable time per week. This generates a projected annual value of $165,000 for the firm, scaling operational capacity with zero increase in payroll.

Audit Your Firm's Workflow

Audit Your Firm's Workflow

Engineering Lab: Custom Python Systems & Algorithms

The Logic Lab: Advanced Logic & Data Automation

The Logic Lab: Advanced Logic & Data Automation

A technical repository of 14 custom Python systems. This lab showcases backend engineering capabilities, ranging from automated data extraction (Web Scraping) and document intelligence (PDF/Image processing) to complex state management and physics logic in Chess and Flappy Bird engines.

A technical repository of 14 custom Python systems. This lab showcases backend engineering capabilities, ranging from automated data extraction (Web Scraping) and document intelligence (PDF/Image processing) to complex state management and physics logic in Chess and Flappy Bird engines.

Web Scraping & Data

PDF & Doc Automation

System Logic

Infrastructure & DevOps

Private Automation Infrastructure

Private Automation Infrastructure

Engineered and deployed a self-hosted n8n environment on a DigitalOcean droplet. Designed to function as a high-volume bulk data processor, bypassing standard SaaS rate limits and ensuring complete data privacy for sensitive workflows.

Engineered and deployed a self-hosted n8n environment on a DigitalOcean droplet. Designed to function as a high-volume bulk data processor, bypassing standard SaaS rate limits and ensuring complete data privacy for sensitive workflows.

DigitalOcean

n8n Self-Host

Autonomous Systems

OpenClaw Multi-Agent Dev

OpenClaw Multi-Agent Dev

Engineering a multi-agent environment to automate complex development cycles. Using OpenClaw, I am transitioning manual automation into self-executing AI agents capable of blueprint generation.

Engineering a multi-agent environment to automate complex development cycles. Using OpenClaw, I am transitioning manual automation into self-executing AI agents capable of blueprint generation.

ClawdBot

Multi-Agent AI

Current R&D: The Innovation Pipeline

Engineering the "Consultant Replacement" Model to scale professional services.

Step 1

RAG & Precedent Retrieval

Automating complex legal research and case retrieval. This evolves systems like Immi-OS from digital secretaries into comprehensive 'Digital Junior Associates.

Analyzing current workflow..

System check

Process check

Speed check

Manual work

Repetitive task

Step 2

Self-Healing Architectures

Engineering Python-based autonomous agents that use terminal feedback to write, audit, and debug their own scripts, ensuring zero-downtime execution.

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

Step 3

Autonomous Compliance

Bridging six years of audit logic with machine learning to build autonomous agents capable of executing complex financial and regulatory workflows safely.

Our solution

Your stack

Step 4

Algorithmic Scaling

Designing architectures that allow firms to scale operational capacity through AI rather than payroll, targeting a 50% reduction in required junior headcount.

Chatbot system

Efficiency will increase by 20%

Workflow system

Update available..

Sales system

Up to date

Ready to scale capacity through AI?

Request Audit

Request Audit

Or, send a direct inquiry