I turn slow, manual business processes into fast, reliable automation. As the sole IT engineer at iBuild Building Solutions,
I connect AI models to the business's CRM, email and marketing systems through API and MCP integrations, and I also own the
servers, code deployment through GitHub, Microsoft 365, security and the move to the cloud. I'm currently leading the rollout of AI
assistants across the business so every team can automate its own repetitive work. AWS Solutions Architect certified, with a Master of
Cyber Security from RMIT.
0h →0m
daily manual admin, automated
0% ↓
fewer duplicate leads
0+
active projects tracked live
0+
priced line items in the quoting engine
0% ↓
false positives from SIEM tuning
How I Automate
Follow a lead through the system
This is the lead pipeline I built at iBuild. Click each stage, or press play, to see what happens from the moment an enquiry arrives.
Before: over 2 hours of daily admin. After: under 5 minutes.
Selected Work
Project Portfolio
Filter by area, or pick a skill further down to see which projects use it. Open any card for the full build details.
01
Omnichannel Lead Deduplication Pipeline
−35% duplicate leads
The Problem
Leads arrived from email, web forms and phone with no way to catch duplicates before they reached the sales team. Reps cross-checked new leads by hand, and historical leads had never been checked at all.
Impact
Reduced duplicate leads by 35% and replaced manual review with near-instant automated checks, while closing a data-quality gap in historical records.
What I Built
A 9-criteria automated duplicate-detection engine inside Vtiger CRM, checking email, phone and contact records against each other in real time.
Logic that never matches a lead against itself and shows the exact reason for a match, so staff get an actionable result instead of a black box.
Extended the same checks to historical records that had never been reviewed under the old manual process.
Scaled it into an omnichannel pipeline: Gmail → Gemini AI classification → Google Sheets → Make.com → Vtiger, so every lead is triaged and checked as it arrives.
Staff spent time on repetitive tasks such as sorting inbound emails and screening spam enquiries, and there was no shared, safe way for teams to use AI in their own work.
Impact
AI now handles first-pass email classification and enquiry screening, and teams across the business are being given AI assistants to automate their own repetitive work.
What I Built
LLM-powered classification of inbound emails, extracting names and enquiry types and routing them into the CRM.
AI screening of web enquiries for spam before they create CRM records.
API and MCP integrations connecting AI models to the CRM, email, marketing and event systems.
Leading the rollout of shared AI assistant access across business teams, including setup and showing staff how to automate their own tasks.
LLMsMCPREST APIsClaudeGeminiMicrosoft 365
03
21-Day AI Automation Challenge
2 hrs → 5 min
The Problem
Lead processing, sales-agent assignment and project setup were three separate manual processes taking over 2 hours of admin every day, with no link between the CRM and the project tools (Basecamp, Trello).
Impact
Cut over 2 hours of daily manual admin to under 5 minutes of automated execution, delivered solo within 21 days.
What I Built
A two-stage pipeline: stage 1 checks every incoming lead for duplicates; stage 2 runs only on signed contracts, creating Basecamp projects and Trello cards with AI-generated summaries.
A location-aware assignment system recommending the best-suited sales agent by proximity and current workload.
Diagnosed and resolved a critical AI-gateway security block that was silently stopping the Basecamp integration, redesigning the architecture under time pressure.
PHPVtiger CRMGemini APIBasecamp APITrello API
04
Automated Cost Estimation Engine
600+ priced line items
The Problem
Quoting a home build meant looking up prices by hand across 101 designs and 6 states, which was slow and prone to pricing errors.
Impact
A complete, accurate quote, including delivery, now takes a few clicks instead of a manual lookup-and-calculate process.
What I Built
A production pricing engine (600+ priced line items across 101 designs × 6 states) inside Vtiger CRM.
Transaction-safe quote generation, so a failed step never leaves a half-created quote.
Automated PDF output, ready to send the moment the quote is generated.
A delivery-cost estimator using a zone-based distance model, built into the same quoting workflow.
PHPMySQLVtiger CRMPDF generation
05
Sales Territory & Performance Analytics
500+ live projects
The Problem
Sales leadership had no real-time view of which territories were converting or how each salesperson was performing. Reporting was manual and ad hoc.
Impact
Leadership now has instant, always-current visibility of territory performance and conversion rates, without manual data pulls.
What I Built
An analytics engine calculating lead, contact and project density and conversion rates within radius zones (20 km metro / 50 km regional) across 500+ active projects.
A real-time Salesperson Performance dashboard widget inside the CRM.
Views by salesperson and by state, with daily, monthly, yearly and year-to-date filters.
PHPMySQLVtiger CRM widgetsHaversine geolocation
06
Multi-Tenant Security Monitoring Platform
−30% false positives
Work experience · Logic Weave
The Problem
Client environments needed real-time threat detection without cross-tenant data exposure, and noisy alerts were slowing down incident response.
Impact
Cut false positives by 30%, so the team could investigate real incidents faster across several client environments.
What I Built
A multi-tenant Wazuh SIEM on AWS processing 50,000+ security log events a day.
Custom detection rules and dashboards tracking AWS IAM activity and EC2 security events.
Tuned alerting and implemented RBAC with tenant-isolated dashboards so each client's data stayed separate.
WazuhAWS (IAM, EC2)OpenSearchRBAC
07
Multi-Tenant AWS Security Monitoring (Wazuh SIEM)
Personal project
The Problem
Monitoring security logs across several AWS environments without cross-tenant exposure needs a self-hosted SIEM architecture built and tested from the ground up.
Impact
A working proof of concept showing enterprise-style log isolation and monitoring across two AWS accounts.
What I Built
Deployed Wazuh on Linode to centralise logs from two separate AWS accounts.
Enforced tenant isolation with OpenSearch Document Level Security and custom RBAC dashboards.
Audited IAM policies for least privilege and built automated SMTP alerting.
Ran a full server migration and recovery exercise to test resilience.
Click a highlighted skill to jump to the projects where I've used it.
🤖 AI & Automation
AI agentsPrompt engineering
🔌 Integration & Development
PythonJavaScript
☁️ Cloud & IT Operations
DockerCloud migration
🔐 Security
IAM & least privilegeRBAC
Interactive
Explore via terminal
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noor@portfolio:~
Journey
From operations to AI automation
Eight years in procurement and operations taught me how businesses really run. Click any step for details.
Sole IT engineer: LLM and API/MCP integrations, CRM automation, servers, GitHub deployment, Microsoft 365, security and cloud migration. Leading the AI assistant rollout. Also supervise interns through a university partnership.
Delivered a full AI automation system in 21 days, cutting over 2 hours of daily admin to under 5 minutes. Designed the original duplicate-detection logic, then moved into the full-time role.
Deployed a multi-tenant Wazuh SIEM on AWS ingesting 50,000+ log events a day and cut false positives by 30%.
Security architecture, risk management and cloud security, alongside the WiCyS mentorship program and the Grad Girls program.
Reconciled high-volume warehouse and transaction data in SAP/ERP, built recurring reports for leadership, and managed procurement, supply chain and supplier negotiations.
Credentials
Certifications
AWS Certified Solutions Architect – Associate
SAA-C03June 2026
AWS Certified Cloud Practitioner
CLF-C02April 2026
Oracle Cloud Infrastructure 2025 Multicloud Architect Professional