- RQF Level 6 Diploma in AIOpsGrade A* · EduQual
- PharmD, 3.9 cGPAQuaid-i-Azam University (QAU)
AI Engineer, Data Scientist, AI Educator
From drug molecules to neural networks.
I'm Ahmad, a PharmD graduate who taught himself machine learning and now builds production AI and MLOps systems. I've mentored 100+ students from medicine, business, engineering and the arts into data and AI roles. This platform is the full road I wish I'd had, and it's free for everyone: a learning community built around AI engineering, where we learn and grow together.
or message me on WhatsApp5+
years in data science
1,500+
live teaching hours
100+
students mentored
30+
end-to-end ML projects
The path I took
From a pharmacy degree to production AI, one deliberate step at a time, and on towards AI for drug discovery.
2020
Discovered data science
Started teaching myself ML midway through the PharmD, then worked through the same foundations a CS student does: programming, computer systems and the maths behind AI.
2022
Freelance data scientist
Client projects on Fiverr and Upwork.
2024
PharmD, 3.9 cGPA
Graduated from Quaid-i-Azam University.
2024
AI/ML consultant & tutor
Independent consulting, data science tutor on Superprof and AIOps intern at Al Nafi.
2026
RQF Level 6 Diploma in AIOps, A*
Cloud, DevOps, security and AI systems.
- Future goal
Computational biology & bioinformatics
A Master's and PhD towards AI-assisted drug discovery and development, bringing medicine and AI together.
Education & credentials
- 3.9 / 4.0 cGPA · 2024
PharmD
Quaid-i-Azam University
- Grade A* · 2024–2026
RQF Level 6 Diploma in AIOps (EduQual)
Al Nafi International College
- In progress
Kubestronaut, AWS & Azure certifications
Cloud and Kubernetes certifications for AI engineering
- Next goal
Master's & PhD: computational biology and bioinformatics
Towards AI-assisted drug discovery and development
What I work with
The stack I build with and teach, from the first notebook to monitored systems in production.
Data science & ML
- Python
- Pandas
- scikit-learn
- XGBoost
- SQL
- Power BI
Deep learning & GenAI
- PyTorch
- TensorFlow
- Hugging Face
- LangChain
- RAG
- OpenCV
DevOps & MLOps
- Docker
- Kubernetes
- Terraform
- Jenkins
- ArgoCD
- Prometheus
- Grafana
Cloud & security
- AWS
- Azure
- FastAPI
- PostgreSQL
- Linux
- SIEM/SOC
Featured work
Healthcare is where I started, so it is where much of my work lives.
- Flagship productOngoing work
VerdictRx
My flagship product: clinical decision support that helps physicians make the right prescribing choice by weighing the complete patient profile, with every recommendation backed by documented proof from clinical guidelines and rules.
- Clinical AI
- LLMs
- Healthcare
MedGuide: medical assistant RAG bot
An LLM assistant that explains a patient's prescribed medicines, nutrition and lifestyle plan against international clinical guidelines.
- RAG
- LLMs
- Streamlit
Stroke prediction
Predicts stroke risk from patient health records, handling heavy class imbalance with resampling and boosted trees.
- scikit-learn
- XGBoost
- Imbalanced data
Alzheimer's disease detection
A deep learning image classifier that grades MRI brain scans across four stages of dementia.
- Deep learning
- CNN
- TensorFlow
The edge
Change careers, not just skills.
Most courses teach one tool or one topic and leave you to figure out the rest. AI with Ahmad gives you the whole road: what to learn, in what order, with the lessons, notebooks and projects included, and a mentor who has walked it from a non-technical start.
Scope
Six connected career roadmaps, foundations to projects
Instead of: one topic or tool
Direction
A clear stage-by-stage path, with gentle "recommended first" guidance
Instead of: you choose what's next
Content
Lessons, notebooks, notes, assignments and portfolio projects
Instead of: videos only
Mentor
Ahmad is one message away for guidance
Instead of: no one to ask
Progress
Progress tracking across every roadmap, synced where topics overlap
Instead of: hard to see progress
Who it's for
Built for career-switchers from medicine, business and the arts
Instead of: assumes a tech background
Six roadmaps, one career path
AI Engineering is the flagship; the other five feed into it. Topics they share count once, wherever you learn them.
Flagship roadmap
AI Engineering
From data to deployed, secure AI products
- Programming Foundations
- Data Analytics
- Machine Learning
- Deep Learning
- Natural Language Processing
- LLMs & LangChain
- +6 more
Data Science
Analyse data, then model it
5 stages · 15 topics
Data Analytics
Turn raw data into decisions
5 stages · 10 topics
DevOps Engineering
From a blank VM to a monitored platform on AWS
7 stages · 21 topics
SysOps & Cloud Administration
Run Linux and the cloud reliably
4 stages · 11 topics
Cloud & Cyber Security
Keep AI products confidential, intact and available
7 stages · 15 topics
Who it's for
Career switchers from non-technical fields
You've built a career elsewhere and want a structured way into data and AI.
Students and fresh graduates
You want job-ready skills and real projects, not just a certificate.
Working analysts and engineers levelling up
You know the basics and want ML, MLOps or cloud depth.
Healthcare professionals moving into AI
You know the domain; I'll help you add the engineering.
How to join
Four steps from sign-up to your first ticked lesson.
- 1
Create your account
"Request access" with a username and password.
- 2
Send your request
A short WhatsApp message with your username.
- 3
Get activated
Free of charge; tracking switches on.
- 4
Learn and track
Follow the path and tick off lessons as you go.
FAQ
Questions, answered
Everything students usually ask before they join. Tap a question to see the answer.
Still have a question?
Ask me directly and I will get back to you.