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🏢 Founder & Lead AI Engineer · Jillani SofTech

Muhammad
Ghulam Jillani

I build AI systems that reach production and stay there. 6 years, 22+ live deployments, 27+ enterprise clients across the US, UK, EU and Australia — RAG platforms, LLM copilots, n8n automation and MLOps. Average 47% efficiency gain, $870K+ in documented client savings, and $100k+ earned at a 100% job success rate. Every engagement starts with the ROI, not the tech stack.

💚 $100k+ earned · $870K+ saved for clients
🌟 24x LinkedIn Top Voice in AI & ML
🥇 Top 100 Global Kaggle Master
🚀 NVIDIA Developer Program
☁️ Claude Certified Architect · AWS · Azure · GCP
See Projects & ROI 🏢 Visit Jillani SofTech Download Capabilities Deck
Muhammad Ghulam Jillani, Founder and Lead AI Engineer at Jillani SofTech
Muhammad Ghulam Jillani
Founder & Lead AI Engineer · Claude Certified Architect
27+Enterprise Clients
22+AI Systems Live
47%Avg Efficiency Gain
100%Job Success Rate
$100,000+ 💚 Earned on Upwork · Top Rated Plus · 100% JSS
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Upwork Top Rated Plus · $100k+ Earned Claude Certified Architect · Anthropic AWS · Azure · Google Cloud Certified 24x LinkedIn Top Voice in AI HIPAA · GDPR · SOC 2 Compliant USA · UK · EU · Canada · Australia 6+ years shipping production AI Top 100 Global Kaggle Master NVIDIA Developer Program
Every credential links to its issuer

Certified, Recognized & Trusted On

A proctored architect certification from Anthropic, plus vendor certifications across AWS, Microsoft Azure and Google Cloud. Click any card to verify it.

2026 Claude Certified ArchitectAnthropic · Foundations Proctored exam · Credly AWS AWS Certified Solutions ArchitectAmazon Web Services Verify on Credly AZURE Microsoft Certified: Azure AI EngineerMicrosoft · Associate Verify on Credly GCP Google Cloud CertifiedGoogle Cloud Platform Verify on Credly
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27+Enterprise Clients 22+AI Systems Deployed $870K+Client Cost Savings $100k+Upwork Earned 47%Avg Efficiency Gain 18+Verified Credentials 24/7Support Coverage
📈 Why Enterprises Choose Me

AI That Delivers Real ROI

Every engagement starts with KPIs defined before code is written. Here is what that looks like in production.

💰
$870K+
Cost Savings Delivered
Documented client cost reductions via AI-driven workflow automation across 27+ enterprise deployments in Finance, Healthcare, and Retail.
⚡
47%
Average Efficiency Gain
Measured process efficiency improvement across RAG systems, automation pipelines, and predictive analytics solutions post-deployment.
🕐
65%
Manual Workload Reduced
Average reduction in human hours via intelligent automation using n8n, RPA, multi-agent AI, and LLM-powered document workflows.
🛡️
99.9%
Enterprise Uptime SLA
Production AI systems maintained at 99.9% uptime across AWS, Azure, and GCP with 24/7 monitoring and zero-downtime deployments.
💼 Engagement Models

Four Ways to Work Together

Every engagement is fixed scope, with acceptance criteria agreed during discovery. Pricing is quoted per engagement once we know what success looks like, so you are never buying hours.

AI Readiness Sprint
One week. Architecture, KPI definition, an ROI model and a build plan that is yours to keep. Credited against the build if we proceed.
Fixed scope, fixed price
Production Pilot
Four to six weeks. One system live in production, measured against acceptance criteria set before the build starts. Not a proof of concept.
Fixed scope, fixed price
End-to-End Ownership
Eight to twelve weeks. Discovery through production, including integrations, MLOps and compliance, with full handover and documentation.
Fixed scope, milestone billing
Managed AI
Monthly retainer. Monitoring, drift detection, model refresh and ongoing iteration, so the system keeps earning long after go-live.
Rolling monthly

💡 Have an AI Project in Mind?

Let's define the ROI before you commit a single dollar. Book a free 30-minute strategy call and walk away with a clear plan - whether or not we work together.

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