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AI Engineer, Data Scientist, AI Educator

Ahmad HassanFrom 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.

or message me on WhatsAppAI with AhmadMy free learning communitySix stage-by-stage roadmaps, from your first line of Python to deployed AI products, with lessons, notebooks, portfolio projects and progress tracking. Free for everyone.learn.ahmadhassanrx.com
Ahmad Hassan
  • RQF Level 6 Diploma in AIOpsGrade A* · EduQual
  • PharmD, 3.9 cGPAQuaid-i-Azam University (QAU)
  • 5+

    years in data science

  • 1,500+

    live teaching hours

  • 100+

    students mentored

  • 30+

    end-to-end ML projects

About me

About Ahmad

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.

Current focus

  • MLOps / AIOps
  • Kubernetes (CKA/CKAD)
  • Generative AI
  • Cloud Security
  • n8n Automation
  • AWS / Azure

The path I took

From a pharmacy degree to production AI, one deliberate step at a time, and on towards AI for drug discovery.

  1. 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.

  2. 2022

    Freelance data scientist

    Client projects on Fiverr and Upwork.

  3. 2024

    PharmD, 3.9 cGPA

    Graduated from Quaid-i-Azam University.

  4. 2024

    AI/ML consultant & tutor

    Independent consulting, data science tutor on Superprof and AIOps intern at Al Nafi.

  5. 2026

    RQF Level 6 Diploma in AIOps, A*

    Cloud, DevOps, security and AI systems.

  6. 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

Skills

What I work with

The stack I build with and teach, from the first notebook to monitored systems in production.

Data science & ML

  • Python
  • NumPy
  • Pandas
  • scikit-learn
  • Matplotlib / Seaborn
  • XGBoost / LightGBM
  • Statistics & Probability
  • Feature Engineering
  • SQL
  • Power BI
  • Tableau
  • Time Series Analysis

Deep learning & GenAI

  • TensorFlow / Keras
  • PyTorch
  • ANN / CNN
  • RNN / LSTM
  • Transformers
  • Computer Vision (OpenCV)
  • NLP / Text Processing
  • Hugging Face
  • LLM Fine-tuning
  • Stable Diffusion
  • LangChain
  • Prompt Engineering

DevOps & MLOps

  • Docker
  • Kubernetes (K8s)
  • Jenkins / CI-CD
  • Ansible
  • Terraform
  • Git / GitHub
  • ArgoCD
  • Prometheus / Grafana
  • AWS (EC2, S3, ECR, ECS)
  • Azure
  • Python Flask
  • n8n Automation

Cloud & security

  • Linux / RHEL
  • Bash Scripting
  • Network Security
  • CISSP (studying)
  • CCSP (studying)
  • SIEM / SOC
  • Penetration Testing
  • ISO 27001 / NIST
  • SCADA Security
  • Zero Trust Frameworks
  • Vulnerability Assessment
  • PCI-DSS / CIS Controls

Flagship product

Where PharmD meets production AI engineering

Translating clinical domain knowledge into a full-stack AI system: the kind of depth that comes from understanding both the medicine and the machine.

Flagship productOngoing workAI clinical decision support

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.

Details shared selectively. Happy to discuss it in interviews and collaborations.

Tech stack

  • FastAPI
  • PostgreSQL
  • Next.js
  • React
  • TypeScript
  • Tailwind CSS
  • RAG pipeline
  • ChromaDB
  • Groq LLM
  • JWT auth
  • RxNorm
  • OpenFDA
  • Docker
  • Pytest
  • Production-grade
  • Deterministic & auditable
  • Test coverage
  • Regulatory aware

Learning roadmaps

Six roadmaps, one career path

AI Engineering is the flagship; the other five feed into it. Every roadmap lives on AI with Ahmad, free, with its lessons, notebooks, projects and progress tracking.

AI with Ahmad

Six stage-by-stage roadmaps, from your first line of Python to deployed AI products, with lessons, notebooks, portfolio projects and progress tracking. Free for everyone.

Portfolio

Projects that speak for themselves

Over 30 projects spanning data analysis, machine learning, generative AI and BI, each built to solve a real problem. Healthcare is where I started, so it is where much of my work lives.

  • Data analysis

    Instacart Customer Behavior Analysis

    Deep EDA on grocery ordering patterns, repeat purchases, order timing, product affinities and customer segmentation.

    • Python
    • Pandas
    • Matplotlib
    • +1
  • Data analysis

    Megaline Telecom Usage Analysis

    Statistical analysis of two prepaid plans (Surf vs. Ultimate) to determine which generates more revenue for the business.

    • Python
    • Statistics
    • Hypothesis Testing
    • +1
  • Data analysis

    Microsoft SaaS Products Analysis

    Multi-dimensional analysis of SaaS product usage, customer segments and retention patterns across Microsoft product lines.

    • Pandas
    • EDA
    • Business Intelligence
  • Data analysis

    San Francisco Housing Rental Analysis

    Geographic and temporal analysis of rental markets in SF, uncovering pricing trends, neighborhood patterns and investment opportunities.

    • Python
    • GeoPandas
    • Visualization
    • +1
  • Data analysis

    Taxi Company Revenue Analysis

    Analysis of ride patterns, peak hours, driver efficiency and revenue optimization strategies for a taxi service.

    • Pandas
    • Time Series
    • Matplotlib
  • Data analysis

    Video Games Console Sale Analysis

    Sales trend analysis across gaming platforms, genres and regions to identify the most profitable market segments.

    • Python
    • EDA
    • Statistical Testing
  • Data analysisHealthcare

    Stroke Risk Exploratory Analysis

    Clinical data analysis identifying key risk factors for stroke, including hypertension, BMI, glucose levels and age correlations.

    • Medical Data
    • Seaborn
    • Correlation Analysis
  • Machine learningFeatured

    Bank Customer Churn Prediction

    Ensemble model (XGBoost + Random Forest) to predict which customers are likely to leave Beta Bank, achieving 85%+ F1-score.

    • XGBoost
    • scikit-learn
    • SMOTE
    • +1
  • Machine learningFeatured

    Gold Recovery Prediction (Mining)

    Multi-stage regression model predicting gold recovery rate at rougher and final purification stages to optimize extraction.

    • Regression
    • Pipeline
    • Cross-validation
    • +1
  • Machine learning

    Optimal Oil Well Location (Bootstrapping)

    Geospatial ML model using bootstrapping to identify the most profitable oil well locations, balancing risk and expected return.

    • Linear Regression
    • Bootstrapping
    • Risk Analysis
  • Machine learning

    Rusty Bargain, Used Car Price Model

    Gradient boosting model for a used car marketplace to predict fair market prices, compared across LightGBM, XGBoost and Random Forest.

    • LightGBM
    • XGBoost
    • RMSE Optimization
  • Machine learning

    Sweet Lift Taxi Demand Forecasting

    Time series forecasting of hourly taxi demand at airports using ARIMA, LightGBM and feature engineering on lag and window features.

    • Time Series
    • LightGBM
    • ARIMA
    • +1
  • Machine learning

    Insurance Benefit Regression

    Linear regression and obfuscation-safe model for predicting insurance payouts while protecting customer data privacy.

    • Linear Regression
    • Data Masking
    • Similarity Analysis
  • Machine learning

    Mobile User Plan Classification

    Decision tree and random forest classifier to recommend the optimal mobile plan (Smart/Ultra) based on user behavior.

    • Classification
    • Decision Tree
    • Random Forest
  • Machine learning

    Bank Loan Default Prediction

    End-to-end ML pipeline predicting the probability of loan default, with model explainability using SHAP values.

    • XGBoost
    • SHAP
    • Class Imbalance
    • +1
  • Machine learning

    Predictive Maintenance Cost Reduction

    ML model predicting equipment failure probability to shift from reactive to proactive maintenance, reducing operational costs.

    • Classification
    • Cost-benefit Analysis
    • Reliability
  • Machine learningHealthcare

    Stroke Prediction

    Predicts stroke risk from patient health records, handling heavy class imbalance with resampling and boosted trees.

    • scikit-learn
    • XGBoost
    • Imbalanced data
    • +1
  • Machine learningHealthcareFeatured

    Lung Cancer Prediction App

    A multiclass lung cancer risk model served as a Dockerised Flask web app that generates a PDF report.

    • XGBoost
    • Flask
    • Docker
    • +1
  • Machine learningFeatured

    RUL Jet Engine Prediction App

    Remaining Useful Life (RUL) prediction for jet engines using the NASA CMAPSS dataset, deployed as a Flask safety application that alerts maintenance teams before critical failure.

    • Random Forest
    • Time Series
    • Flask
    • +2
  • Deep learningFeatured

    Churn Prediction via Neural Network

    Deep learning approach to customer churn: an ANN with dropout regularization outperforming classical ML baselines.

    • Keras
    • ANN
    • Dropout
    • +1
  • Deep learningHealthcare

    Alzheimer's Disease Detection

    A deep learning image classifier that grades MRI brain scans across four stages of dementia.

    • Deep learning
    • CNN
    • TensorFlow
    • +1
  • CV & NLPFeatured

    Computer Vision Classification

    CNN-based image classification pipeline with transfer learning (ResNet), data augmentation and production-ready inference.

    • CNN
    • ResNet
    • Transfer Learning
    • +1
  • CV & NLP

    Bank Customer Complaints Summarization

    NLP pipeline using transformer-based models to automatically summarize customer complaints, reducing support team workload.

    • Transformers
    • Hugging Face
    • NLP
    • +1
  • Generative AIHealthcareFeatured

    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
    • +1
  • Generative AIFeatured

    Complaints Classification, Fine-tuned LLM

    Fine-tuned DistilBERT for multi-class complaint categorization, achieving >92% accuracy vs. a zero-shot baseline.

    • LoRA
    • Hugging Face
    • Fine-tuning
    • +1
  • Generative AIHealthcare

    Nutritional Bot

    A nutrition-disorder specialist chatbot that answers from a medical reference library with retrieval-augmented generation.

    • RAG
    • LangChain
    • ChromaDB
    • +1
  • Generative AIFeatured

    Text-to-Image with Stable Diffusion

    DreamBooth fine-tuning pipeline to generate personalized images with Stable Diffusion, including custom artist style training.

    • Stable Diffusion
    • DreamBooth
    • LoRA
    • +1
  • SQL & BI

    AdventureHubs SQL Analysis

    Complex SQL queries on the AdventureWorks database: joins, window functions, CTEs and performance optimization.

    • SQL
    • Window Functions
    • CTEs
    • +1
  • SQL & BIFeatured

    SQL + Python + Power BI ETL Pipeline

    Full ETL pipeline extracting from SQL Server, transforming with Python and Pandas, and loading to Power BI for executive dashboards.

    • SQL
    • Python
    • Power BI
    • +1
  • SQL & BI

    HR Attrition Dashboard (Tableau)

    Interactive Tableau dashboard visualizing employee attrition patterns, satisfaction scores and retention risk factors.

    • Tableau
    • HR Analytics
    • Dashboard Design
  • SQL & BIHealthcare

    Medical Settings Comparative Analysis

    Tableau analysis comparing performance across medical settings: patient outcomes, treatment efficacy and resource utilization.

    • Tableau
    • Healthcare Analytics
    • KPI Visualization

Open source

Models & experiments on Hugging Face

Fine-tuned models, experiment checkpoints and research artifacts published openly, from NLP and generative AI projects to domain-specific adaptations in the clinical and analytical space.

View my Hugging Face profile
myhuggingface333Hugging Face
Models & SpacesOpen source
  • NLP
  • Fine-tuning
  • Transformers
  • GenAI
  • Medical AI

Explore models & spaces

Milestones

Achievements & recognition

A track record built through years of consistent learning, teaching and building.

  • 2024

    PharmD, Quaid-i-Azam University

    3.9 / 4.0 cGPA · Graduated 2024

    Top-performing graduate in one of Pakistan's most rigorous pharmaceutical programs, building a foundation in scientific research, data interpretation and analytical thinking.

    • Research
    • Analytical Chemistry
    • Clinical Data
  • 2024–2026

    RQF Level 6 Diploma in AIOps (EduQual)

    Al Nafi International College · Grade A*

    An AIOps diploma covering cyber security, DevOps, cloud architecture, system administration and AI systems: the complete operational stack for modern AI deployment.

    • DevOps
    • Cloud
    • Cyber Security
    • AI Systems
  • 2022–now

    1,500+ live teaching hours

    Superprof · Top tutor

    Over 1,500 hours of live one-to-one and group instruction in data science, ML and AI, making complex topics accessible to complete beginners.

    • Superprof
    • Online Teaching
    • Mentoring
  • 2022–now

    100+ students mentored

    Cross-domain · Career transitions

    Worked with over 100 students from medicine, business, engineering and liberal arts backgrounds, guiding them through career transitions into data science and MLOps roles.

    • Career Coaching
    • Curriculum Design
    • DS/ML
  • In progress

    Kubernetes certification path

    KCNA · CKAD · CKA · CKS · KCSA

    Pursuing the full Kubestronaut certification stack, from cloud native associate through security specialist, as part of the Golden Kubestronaut program.

    • Kubernetes
    • CNCF
    • Cloud Native
  • In progress

    Security certifications path

    CISSP · CCSP · CCSK · ISSAP

    Studying toward top-tier security certifications covering enterprise security architecture, cloud security and identity management at the advanced practitioner level.

    • CISSP
    • CCSP
    • Cloud Security
  • 2020–now

    30+ end-to-end ML projects

    Production-grade · Multi-domain

    Delivered 30+ complete ML projects spanning data analysis, machine learning, deep learning, NLP, computer vision, GenAI and business intelligence.

    • Python
    • ML/DL
    • GenAI
    • BI
  • 2026

    Final year project defense, RQF Level 6

    Al Nafi International College · Presented to Mohammad Faisal

    Live-streamed final year project defense for the EduQual RQF Level 6 AIOps programme: "Orchestrating a Precision Agriculture Platform with Drone Analytics, IoT Sensors, and Machine Learning for Sustainable Farming", delivered before an examination panel.

    • Precision Agriculture
    • Drone Analytics
    • IoT
    • ML
    Watch the defense
  • 2020–now

    5+ years in data science

    Self-taught → industry practitioner

    Built expertise from zero in 2020 through deliberate practice, real projects and hands-on teaching.

    • ML
    • Deep Learning
    • MLOps
    • GenAI

Get in touch

Ready to build something remarkable?

Whether you're looking to hire an AI engineer, collaborate on an AI project or research, or want guidance on your own path, I'd love to hear from you.