
AI Engineer, Data Scientist, AI Educator
From drug molecules to neural networks.
I trained as a pharmacist at Quaid-i-Azam University, and midway through my PharmD I discovered data science. I taught myself machine learning in the evenings, then took on freelance data science work on Fiverr and Upwork.
After graduating with a 3.9 cGPA I moved fully into AI: consulting on ML projects, tutoring data science on Superprof, and interning in AIOps at Al Nafi, where I completed an RQF Level 6 Diploma in AIOps with an A*.
My route into AI was the one any CS student takes: programming, computer systems and the mathematical foundations of machine learning, so I teach the fundamentals properly, not just the tools. Today I build production AI and MLOps systems, and I've mentored 100+ students, most of them from medicine, business, engineering and the arts, into data and AI roles.
Next, I'm heading for a Master's and PhD in computational biology and bioinformatics, with one goal: AI-assisted drug discovery and development. It brings my training in medicine together with AI engineering and operations, and it is where my specialisation and my future lie.
5+
years in data science
1,500+
live teaching hours
100+
students mentored
30+
end-to-end ML projects
From a pharmacy degree to production AI, one deliberate step at a time, and on towards AI for drug discovery.
2020
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
Client projects on Fiverr and Upwork.
2024
Graduated from Quaid-i-Azam University.
2024
Independent consulting, data science tutor on Superprof and AIOps intern at Al Nafi.
2026
Cloud, DevOps, security and AI systems.
A Master's and PhD towards AI-assisted drug discovery and development, bringing medicine and AI together.
PharmD
Quaid-i-Azam University
RQF Level 6 Diploma in AIOps (EduQual)
Al Nafi International College
Kubestronaut, AWS & Azure certifications
Cloud and Kubernetes certifications for AI engineering
Master's & PhD: computational biology and bioinformatics
Towards AI-assisted drug discovery and development
The stack I build with and teach, from the first notebook to monitored systems in production.
Healthcare is where I started, so it is where much of my work lives.
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.
An LLM assistant that explains a patient's prescribed medicines, nutrition and lifestyle plan against international clinical guidelines.
Predicts stroke risk from patient health records, handling heavy class imbalance with resampling and boosted trees.
A deep learning image classifier that grades MRI brain scans across four stages of dementia.
Every roadmap runs from foundations to deployed projects, in an order that builds on itself.
Notebooks, assignments and portfolio projects at every stage, so you leave with work to show.
You're never stuck alone: we plan your path together and adjust it as you go.
Message me on WhatsApp or email me. I reply personally.