Muhammad Haris
Muhammad HarisAI GTM Engineer
Resume

I build revenue systems that run without me.

I'm Muhammad Haris, an AI GTM engineer. I build the AI systems that find your buyers, research them, reach them at the right moment and keep them.

01Signal intelligence02Research and enrichment agents03Signal-triggered outbound04Inbound conversion05Retention and expansion Pipelineout.
What I build

Five stages of the revenue engine.

01

Signal intelligence

Know who is in market before your competitors do. Systems that watch for the moments that make a company ready to buy, confirm them before anyone picks up the phone, and rank who is likely to be next.

51qualified leads in the first four days
02

Research and enrichment agents

Every account researched to the field, verified at the source, never guessed. The cheapest source that can answer goes first, and the expensive ones only run when they're needed.

29data points researched per lead
03

Signal-triggered outbound

Outreach that starts because something happened, not because a list was due. Replies, opens and bounces flow straight back, so nobody is chased twice and nobody is forgotten.

530potential acquirers mapped
04

Inbound conversion

Speed to lead and speed to quote. Every inquiry qualified, priced and routed in seconds, on the web, in the inbox and on the phone.

~45 secfrom photo to priced quote
05

Retention and expansion

Agents that catch customers on the way out, make the right offer and hand warm conversations to the team, while recording why people leave so the product gets better.

731new prospects captured
+
The infrastructure underneathCRM, enrichment, sequencing and reporting wired together as one system, so every stage hands clean data to the next and the dashboard tells the truth.
9 production pipelines, one connected system
Who I am

Experience.

Two roles where I built AI products under the hardest constraints there are: money, regulation and multiple tenants. They are why companies trust me with agents near their revenue.

What I bring to every engagement

I speak revenue and code.
I can sit in a pipeline review in the morning and ship the fix in the afternoon. Nobody has to translate between the business and the build.
I learn the job before I automate it.
I sit with the people doing the manual work and map how a lead really moves, not how the playbook says it does.
I build the whole system.
Signal, research, outreach, conversion, retention and the data underneath, wired together so every stage hands clean data to the next.
Agents where judgment helps. Plain code where mistakes cost money.
AI reads, researches and decides what deserves attention. Deterministic logic handles prices, sends and customer records.
Production or nothing.
Real data from the first week, evaluations, guardrails, monitoring, and a person in the loop wherever a mistake would reach a customer.

AI GTM Engineer

Working directly with founders and revenue leaders

I build the AI systems behind every stage of the revenue engine: signal detection, account research and enrichment, outbound, inbound conversion and retention. I understand what the number has to do, and I build the machine that does it, to a standard where you can let it run.

The systems revenue teams run on

  • A signal engine that watches 38,548 businesses and tells sales the moment one of them needs help. 51 qualified leads in its first four days.
  • A research cascade that took more than 80,000 leads to 29 verified data points each without guessing a single field.
  • An estimator that prices a job from a photo in about 45 seconds, across eight brands.
  • Revenue agents that captured 731 prospects for a national broadband provider while handling more than 8,700 customer conversations.
  • A universe of 530 potential acquirers for an investment bank's sell-side deal, delivered the day of the brief.

Who I work with

  • B2B SaaS and technology companies, usually growth stage, that want pipeline without simply hiring more SDRs.
  • Revenue leaders: founders, CROs, heads of growth, sales and marketing leaders, and RevOps.
  • Firms with a high-value sales motion: investment banks and M&A advisors, lead-generation businesses, and companies with heavy inbound demand.
revenue

Founding AI Engineer

RevAll AI (Pyle Ventures)

Founding AI engineer on an early-stage fintech building a read-only investing platform. I built the AI layer: a research agent with guardrails and a streaming safety filter, and an MCP server with hashed, revocable access tokens so a user's own AI assistant can query their data.

I also built the security programme for bank-data access: two-step sign-in enforced in the database, versioned consent records, rate limits, row-level security, monitoring and a CI security gate.

Read-only by design. It never moves money.

money

AI Automation Lead

Solidrange

Led AI on a multi-tenant compliance platform for a Riyadh-based company, in English and Arabic.

Hybrid retrieval with reranking and per-tenant access control enforced at the retrieval layer, 16 specialised AI personas, graph memory, browser automation, and an evaluation pipeline with RAGAS and Arize Phoenix.

Full-stack delivery in .NET and React with a Python retrieval service, with retrieval, evaluation and tenant isolation designed in from the first commit.

regulationmultiple tenants
Under the hood

Toolkit.

AI and agents

  • Claude and OpenAI APIs
  • Perplexity

Signal, research and outbound

  • Apollo
  • Clay
  • HeyReach
  • Sales Navigator
  • La Growth Machine
  • Firecrawl
  • Apify
  • Browserless
  • Serper
  • NeverBounce
  • Instantly

Product and platform engineering

  • Python and FastAPI
  • TypeScript, Next.js and React
  • .NET
  • Supabase and Postgres with row-level security

Revenue systems and data

  • HubSpot
  • Jobber
  • GoHighLevel
  • Webflow CMS

Voice agents

  • Vapi
  • ElevenLabs
  • Voiceflow

Orchestration

  • n8n
  • Zapier
  • Make
  • Power Automate

Engineering practice

  • Claude Code
  • Cursor
  • Antigravity
  • CI security gates
  • Sentry monitoring
  • secret scanning

Education

Management SciencesLahore University of Management Sciences (LUMS)

Working with Muhammad was a great experience. He takes the time to thoroughly understand the project before diving in, communicates clearly, and consistently shows strong attention to detail.

Client

If you're serious about building a revenue engine, let's talk.