I help SaaS founders, agencies and B2B revenue teams fix CRMs that have outgrown their setup — architecting HubSpot, Attio and Zoho, then automating the operations around them with custom integrations and AI so revenue data stays reliable.
I'm Muhammad Aarib — a RevOps engineer and CRM consultant who spends most of his time inside HubSpot, Attio and Zoho, wiring them into the automations, APIs and AI workflows that keep a revenue team's data honest. Five-plus years in, the job hasn't changed: a founder or ops lead has a system that grew faster than its architecture, and I rebuild the plumbing without stopping the business.
Every engagement starts the same way — an audit of what actually exists versus what everyone assumes exists. Duplicate contacts, three different definitions of "qualified lead," a migration nobody wants to touch, a spreadsheet doing a database's job. From there it's architecture first: a clean data model, then the automation layer — n8n, Zapier, Make or custom Node services — and, where it earns its keep rather than just sounding modern, an AI layer for enrichment, summarization and agent-driven workflows.
I hand off systems the way I'd want to inherit one: documented, monitored, and built so the team can extend it without calling me back for every change.
Revenue teams I've partnered with — from seed-stage startups to scaling mid-market orgs.
Every engagement follows the same shape: a real business problem, a system that solves it, and a measurable outcome.
The CRM was configured once, in a hurry, and never revisited — properties and stages don't match how the team actually sells.
Design and implement CRM systems in HubSpot, Attio, Zoho or Pipedrive from a clean data model: custom objects, pipeline stages and lifecycle definitions built around the real sales process.
A CRM the whole team trusts enough to base reporting and forecasting decisions on.
Two CRMs after an acquisition, or one instance you've outgrown — years of duplicate and conflicting records nobody wants to touch.
Field mapping, deduplication and zero-downtime cutover strategy, validated through full dry-runs before a single production record moves.
One source of truth with a complete audit trail, not a migration that only looks fine until someone checks.
Reps and ops staff doing by hand what a workflow should be doing — lead routing, data entry, status updates, handoffs.
Automation layers in n8n, Zapier, Make or native CRM workflows that handle routing, enrichment, SLA alerting and cross-team handoffs end to end.
Hours reclaimed every week, and a system that catches what a person would eventually miss.
Manual research, summarization and triage that scale with headcount instead of scaling on their own.
OpenAI and LangChain-based agents and RAG pipelines scoped tightly to real CRM data — enrichment, deal summarization, support triage — with guardrails against unverified output.
AI doing defined, checkable work inside the system, not a chatbot bolted on for show.
CRM, billing, support and product tools that don't talk to each other, so someone's job is being the human API between them.
REST and GraphQL integrations, webhooks and custom middleware connecting CRM, billing, support and analytics into a single data flow.
No stranded data — every update in one system propagates automatically to the rest.
Leadership finds out pipeline health from a Friday-afternoon spreadsheet export, days after the number that mattered changed.
Live dashboards built directly on clean CRM data — pipeline velocity, stage conversion, rep performance — with no manual export step.
Decisions made on real-time numbers instead of a week-old snapshot.
Every engagement compounds. Hover a node to see what the work moved.
A connected practice across CRM, automation and cloud — every engagement plugs into the same operating system.
Deep-dives on the builds that moved the needle.
Rebuilt a Series-A team's go-to-market engine in HubSpot — instant lead routing, automated scoring and SLA alerting so no inbound lead sits cold.
Merged two acquired brands onto one Zoho instance with custom deduplication logic — 1.4M records, zero downtime, zero data loss.
Designed a venture fund's entire RevOps stack in Attio — relational data modeling, enrichment, email sync and AI-assisted deal summaries.
Replaced six SaaS automation tools with a single self-hosted n8n platform — owned infrastructure, 60+ workflows, zero per-task fees.
Mapped every activation drop-off point in a fintech's onboarding funnel and built a Zapier lifecycle system to close the gaps.
The platforms and languages behind every engagement, grouped by discipline — CRM, automation, development, cloud and AI.
Need help implementing HubSpot, Attio, AI automation or custom integrations? Tell me where the friction is — I'll map the system and hand it back clean.
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