M. Maaz Akram
AI & Automation Engineer

I'm passionate about turning repetitive work into systems that run themselves, I believe the right automation gives a business back its most valuable asset: time. I enjoy wiring APIs, workflows, and AI agents into pipelines that think, decide, and act without being asked twice. It's deeply rewarding to watch a manual process disappear into a workflow that just works.

RESPONSIBILITY: Automation, AI Systems & Integrations

EXPERIENCE: 2+ years

EMAIL: muhammadmaazsaat@gmail.com

Personal Info

At Auxth, Maaz builds the automation layer behind the work, AI-driven workflows, CRM pipelines, and integration systems that connect every tool the team touches. He has shipped 30+ automation workflows and 20+ funnels and landing pages, spanning lead generation, outreach, appointment booking, and AI-powered communication. His approach is simple: if a task happens twice, it should be automated once

Away from the workflow canvas, Maaz is a final-year BS Artificial Intelligence student who spends his spare cycles on applied research, NLP, computer vision, biomedical signals, and low-level GPU programming. He’s a daily learner by habit, with a language streak in the hundreds of days to prove it. That mix of curiosity and consistency is what keeps his systems both inventive and dependable.

Professional Skills

For every business bottleneck, Maaz brings systems thinking, API fluency, and a bias toward automation. Whether it’s an event-driven n8n pipeline, a RAG-backed AI agent, or a GoHighLevel CRM buildout, his focus is on infrastructure that scales without supervision. He believes reliable integrations and clean data flow are the backbone of any AI-powered business.

  • AUTOMATION
  • AI SYSTEMS
  • INTEGRATIONS

Early Years

He started out building GoHighLevel funnels and CRM automations for agencies and real-estate clients, learning conversion and workflow design from the client side of the table. From there he moved deeper into the stack — n8n, webhooks, REST APIs, and JavaScript transforms, until entire outreach and booking operations could run hands-off.

Studying Artificial Intelligence in parallel pushed him past no-code limits and into LLMs, RAG, and vector stores. Those early years shaped his belief that the strongest automations are the ones that can reason, not just react.

Career Guidelines

Before and alongside Auxth, Maaz has delivered automation systems across marketing, real estate, and content operations, multi-channel outreach engines, Apollo-to-CRM lead pipelines, AI email reply agents, OCR-driven financial data capture, and fully automated social content publishing. His stack spans n8n, Make.com, Zapier, GoHighLevel, Python, TypeScript, FastAPI, and the OpenAI and Claude APIs, all version-controlled with Git.

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