About

I build AI systems
that actually ship.

I’m Monem — an AI Automation Engineer and computational science researcher based in Sudbury, Ontario. I design and build end-to-end AI pipelines using n8n, large language models, and vector databases, and I research how to make those same systems harder to weaponize.

My path into AI wasn’t a straight line. I studied computer science in Bangladesh, then spent two years coordinating programs for a tech company in Dhaka before moving to Canada to pursue graduate research. In 2024 I completed my M.Sc. in Computational Science at Laurentian University — where my focus shifted from building AI to questioning it.

The research question I keep coming back to: as AI-generated phishing and social engineering attacks become indistinguishable from legitimate communication, what actually makes people more resistant to them? My PhD research investigates cognitive forcing functions — structured decision-making interventions that slow down automatic thinking and make deception harder to pull off, even against highly convincing AI-generated attacks.

On the engineering side, I build real automation workflows — content intelligence pipelines, RAG-powered chatbots, AI email agents — systems that solve actual problems and run in production. I believe the best way to understand AI risk is to spend serious time building with it.

🏅
Ontario Volunteer Service Award 2024 Recognized for community contributions in Ontario, Canada
M.Sc.
Computational Science
Laurentian University, 2024
5+
Production n8n workflows built and deployed
2
Custom GPTs published on the OpenAI GPT Store
Research
Research focus: AI-generated phishing defence

Two tracks. One mission.

⚙️

n8n Automation Pipelines

End-to-end workflows that connect APIs, trigger on schedules or events, and run without human intervention. Built for reliability, not demos.

🧠

RAG Systems & LLM Agents

Retrieval-augmented pipelines using Pinecone and OpenAI embeddings, paired with LLM agents that reason over structured knowledge bases — not just raw model weights.

🔐

AI Security Research

PhD-level research into cognitive defences against AI-generated phishing. Studying what actually changes human behaviour when AI attacks get too good to spot.

How I got here.

2024 — Present

AI Automation Engineer & PhD Researcher

Independent · Sudbury, Ontario

Building production-grade AI automation systems with n8n, developing RAG pipelines, and conducting PhD research into cognitive forcing functions as defences against AI-generated social engineering.

2022 — 2024

M.Sc. Computational Science

Laurentian University · Sudbury, Ontario

Graduate research at the intersection of AI systems and human decision-making. Developed the theoretical foundation for applying cognitive forcing functions to AI-driven phishing defence. Awarded the Ontario Volunteer Service Award 2024.

2021 — 2022

Program Coordinator

Creative Nine · Dhaka, Bangladesh

Managed tech-focused programs and saw firsthand how convincing AI-generated content was already becoming — an experience that shaped the direction of my research.

2018

B.Sc. Computer Science

National University Bangladesh

Foundation in software engineering, algorithms, and systems design. Built the technical base that everything since has been built on.

What I work with.

n8n
Python
OpenAI API
Anthropic API
Pinecone
RAG Pipelines
LLM Agents
Prompt Engineering
Tavily API
Gmail API
Google Sheets API
Google Drive API
OpenRouter
WordPress
HTML / CSS / JS
AI Security

Lets work together

I’m available for automation projects, RAG system builds, and AI consulting.
If you have a problem that needs an AI solution — let’s talk.