AI Solutions Architect

I build AI systems that survive production.

LLM agents, RAG, and automation for teams that need them running at 9am Monday, not just in a demo. I design, build, and operate the whole thing, plus the data and cloud engineering to keep it reliable.

~70machine AI fleet operated
73/77live LLM telemetry
-50%provisioning time
0failures / 41-box migration
AGENT PIPELINE// live
01Ingestsources -> queue
02AgentsLLM + RAG
03MCP Toolsactions
04Fleet x70deployed
05Observabilitycost + quality
[ok] agent.run trace_id=9f21 latency 840ms [ok] fleet.telemetry 73/77 online [ok] provisioning golden-image 16m [ok] cma.workflow n8n -> llm -> vision passed QA [ok] model.migration 41/41 0 failures [ok] rag.retrieve pinecone k=8 120ms [ok] agent.run trace_id=9f21 latency 840ms [ok] fleet.telemetry 73/77 online [ok] provisioning golden-image 16m [ok] cma.workflow n8n -> llm -> vision passed QA [ok] model.migration 41/41 0 failures [ok] rag.retrieve pinecone k=8 120ms
Trusted by teams at PublicisAlphaSenseproof+BelgiumImmo
How I work

Three ways to engage. No pricing games.

We start with a free call. You leave with a clear map even if we never work together. From there:

01 / AUDIT

Find where AI pays off

  • Map your manual and repetitive work
  • Score each by impact and effort
  • A prioritized plan with ROI estimates
You get: a plan you can act on with or without me.
02 / BUILD

Ship the system

  • Agents, RAG, automations, pipelines
  • n8n, LLMs, MCP tools, GCP
  • Tested and in production, not a demo
You get: a working system your team owns.
03 / OPERATE

Keep it running

  • Observability for cost and quality
  • Hardening, security, and handover
  • New automations as you grow
You get: a system that stays boring and reliable.
n8nLangChainPineconeOpenAILangExtractApache AirflowBigQueryGCPSupabaseMCPPySparkCloud RunMake.comWhisperGemini n8nLangChainPineconeOpenAILangExtractApache AirflowBigQueryGCPSupabaseMCPPySparkCloud RunMake.comWhisperGemini
Selected work

Real systems, in production.

Each is a system I shipped and kept running. Numbers are from the actual work.

CASE 001 / REAL ESTATE / AI FLEET

An AI assistant platform for a 70-machine fleet

Problem: a growing fleet of customer AI assistants with no visibility into cost or quality.

Built: the agent control plane, a fleet-wide LLM observability pipeline (keys off customer boxes), and a golden-image provisioner.

73/77telemetry live-50%provisioning41/0migration / fails
View case study
CASE 002 / REAL ESTATE / CMA

AI comparative market analysis

Problem: market analyses for realtors were slow and manual.

Built: an AI system on n8n with LLMs and computer vision over live MLS data, with email-reply feedback loops and automated QA.

n8n+ LLM + visionMLSlive dataautoQA + feedback
View case study
CASE 003 / HEALTHCARE / SECURITY

Security turnaround for a production SaaS

Problem: a live healthcare app with real security gaps.

Built and fixed: cross-tenant access, an injection vector, and a broken encrypted search, with zero-downtime migrations and an automated verification bot. (Architecture level, no patient data.)

D->hardenedsecurity0downtimeeverychange verified
View case study
CASE 004 / NOTE-TAKER / OWN PRODUCT

Autonomous AI meeting notes

Problem: meeting notes are manual and inconsistent.

Built: a bot that joins the call, transcribes with Whisper, summarizes with Gemini, and files speaker-attributed notes to Google Docs. Runs at near-zero idle cost on GCP.

hands-offafter every call~$0idle costGCPserverless
View case study
What clients say

"Saim is outstanding. He has great expertise across Google Cloud and always goes the extra mile, delivering and bringing improvements that allow future growth."

Alan Contoz, Publicis Communications

"We worked with Saim on a complex automation project and were incredibly pleased. He is efficient, highly responsive, and really knows his stuff."

Guilhem Loisel-McFadden, AlphaSense

Prefer the one-pager?

My full resume, with the roles, stack, and certifications.

View resume
About

Over a decade turning manual work into systems.

I started in PHP and WordPress, moved into data engineering, and now design and run AI automation in production. I have shipped for real-estate and proptech, healthcare, and analytics teams, and I build my own products in the same stack. Based in Lahore, working with clients worldwide, and comfortable delivering fully remote and async.

Questions

The things people ask first.

How do we start?

A free 30-minute call. I learn your workflow and where the manual work is, and you leave with a clear map, even if we never work together.

Do you work with our stack?

Almost certainly. n8n, Make, custom code, GCP, AWS, Supabase, whatever you run. I meet your tools, I do not force new ones on you.

Who owns what you build?

You do. Everything ships to your accounts and repos with documentation and a proper handover.

Where are you based?

Lahore, working with clients worldwide across time zones. Async-friendly, and used to remote delivery.

Contact

Tell me what you want to automate.

Send a message or reach me directly. I reply within a day.

Prefer email or a call? Use the options on the right.