A Little Less Conversation, a Little More Action, Please
Investigating the Physical Common-Sense of LLMs in a 3D Embodied Environment
I build intelligent automation systems, AI-driven workflows, and scalable integrations using APIs and modern automation tools.
BS Artificial Intelligence @ Air University · 6th Semester · Islamabad, Pakistan
Projects
Automation systems, AI-driven workflows, and scalable integrations.
End-to-end outreach automation integrating LinkedIn, email campaigns, and AI-powered replies.
Built a full outreach automation system that integrates LinkedIn outreach, automated email marketing campaigns, and AI-powered email reply systems. The pipeline connects n8n workflows with GoHighLevel to handle lead capture, multi-channel engagement, and automated follow-ups — replacing manual outreach with a scalable, hands-off system.
Key Features
AI generates content calendars, creates posts, and auto-publishes across 3 platforms.
An end-to-end automation system where a user provides their brand kit and business website. The AI then generates a 1–2 month content calendar, creates static content for each post, and schedules & publishes automatically across Facebook, Instagram, and LinkedIn — fully hands-free content pipeline.
Key Features
Automated appointment scheduling, confirmations, and reminder workflows.
Built an automation that handles the entire appointment scheduling lifecycle — from booking confirmations to automated reminders — using GoHighLevel workflows. Eliminates missed appointments and manual follow-up with intelligent reminder sequences.
Key Features
Capabilities
Technologies and platforms I work with regularly.
Workflow & system automation platforms
Core languages & frameworks
Research & applied machine learning
Integration & infrastructure
Marketing & business tools
Research
Key research papers that shape how I think about AI and systems.
Investigating the Physical Common-Sense of LLMs in a 3D Embodied Environment
The Transformer architecture that changed NLP
Exploring recursive structures in language modeling
About
I'm Muhammad Maaz Akram, a bs artificial intelligence @ air university · 6th semester based in Islamabad, Pakistan. I specialize in building automation systems that connect platforms, streamline workflows, and solve real business problems using AI and modern integration tools.
My work sits at the intersection of artificial intelligence and practical automation — from AI-powered content generation pipelines to multi-channel outreach systems built with n8n and GoHighLevel. I approach every problem by reading documentation thoroughly, understanding the APIs involved, and building systems that are reliable and scalable.
When I'm not building automations, I study research papers on LLMs, transformer architectures, and embodied AI to deepen my understanding of the systems I work with.
Education
BS Artificial Intelligence
Air University, Islamabad
Focus Areas
Workflow Automation · AI Systems
API Integration · LLM Research
Contact
Open to freelance projects, automation consulting, research collaborations, and interesting problems.