Call Center Agent

Bytes People Solutions (Vodacom Outsource)

• I was a call center agent. Headset on, scripts memorized, handling customer complaints eight hours a day.
• I noticed the people who got promoted understood the data behind the calls. Why were customers angry? What patterns kept repeating? Which agents resolved issues fastest, and why?
• I started asking questions nobody else was asking.

QA Specialist

Bytes People Solutions

• They moved me to QA. I listened to calls, scored agents, identified training gaps.
• I built spreadsheets, tracked patterns, and created my own metrics because the official ones didn't tell the real story.
• Excel became my first programming language.

Managing a team of 12 analysts and QA specialists

Bytes People Solutions

• This is where I learned what data does to an organization. We built reporting frameworks tracking volumes, resolution rates, and quality metrics.
• Executives cared about outcomes, not methodology. We reduced call-handling time by 25% and improved first-call resolution by 30%, through understanding what the numbers actually meant.
• Excel wasn't enough. The BI team used QlikView and did in minutes what took me hours. I needed to learn it.

BI Developer

Miles7 Consulting

• I taught myself QlikView and entered a world of Oracle databases, data migrations, and enterprise clients. I learned SQL properly, real optimization and performance tuning.
• Power BI began to dominate. I migrated clients, earned certifications (PL-300, DA-100), and mastered DAX.
• The wall remained: the data was never clean. The real work was everything before visualization.

Data Engineer / Founder

4D Analytics (Founded)

• I went deeper: Talend for ETL, SSIS for SQL Server, Azure Data Factory for cloud pipelines, Synapse Analytics for warehousing.
• BI is the tip of the iceberg, underneath is data engineering.
• I started 4D Analytics. Freelance at first, dashboards, report automation, then projects that pushed me beyond 'BI developer.'

Automations and AI Lead

SystemicLogic

• I built a complete Warehouse Management System: PowerApps interface, Power Automate workflows, SharePoint data, barcode scanning, role-based access, multi-site inventory.
• Automation, Power Automate, then Make, then n8n, opened a door. Systems could execute without humans in the loop.
• I became Automations and AI Lead.

AI Solutions Architect

4D Analytics

• I focused on making AI work in business: vector databases (IBM), RAG pipelines, Claude and GPT integrated into n8n workflows.
• 4D-Sage, a conversational AI with memory and grounded retrieval.
• A warehouse full of returned devices exposed a real cost: active SIM data charges. The solution demanded more than software.

Edge AI Engineer

4D Analytics

• I learned hardware. A custom 9-card mechanical dispenser with ESP32, servos, stepper motor, and conveyor positioning. Firmware, GPIO debugging, and microstepping.
• Trained a model on Edge Impulse, deployed on Raspberry Pi 4 with TensorFlow Lite: 372ms inference, 95% F1, 90+ items/min, 99.8% accuracy.
• Cloud pipeline: AWS IoT Core to Lambda to n8n to Airtable to Power BI. Edge to cloud. Atoms to insights.
• One person built this. No team. No external contractors.

• Mechanical design (CAD, motor control, physical systems)
• Embedded programming (ESP32, Raspberry Pi, GPIO)
• Edge ML (TensorFlow Lite, Edge Impulse, computer vision)
• Cloud infrastructure (AWS IoT, Azure, Supabase)
• Backend engineering (SQL, APIs, data pipelines)
• Application development (React, PowerApps, TypeScript)
• AI orchestration (agentic workflows, RAG, vector search)
• Analytics (Power BI, DAX, KPI frameworks)