The Logician.
The person behind the work
Curious by nature.
Practical by choice.
I’m Hamza Khan. I work on products where trust matters: verifying identity, understanding risk, and deciding what AI should do next.
I enjoy getting close to the detail without losing sight of the customer. Some days that means working through a data model with engineers. On others, it means finding a clearer way to explain what the product does.
A career built on questions.
From understanding failure to shaping products and bringing them to market.
Learning where systems fail.
At Facia, I tested biometric systems using physical presentation attacks, deepfakes and injected images. Working closely with technical teams taught me how to turn a failure into a useful product decision.
Adversarial testing at FaciaBuilding the product function.
At Programmers Force, I built AML Watcher’s product function and worked across compliance, media intelligence and agentic AI. The work ranged from data models and risk scoring to pricing, team growth and new product launches.
Building AML WatcherConnecting the product to its market.
At Shufti, my work spans seven product lines: positioning, launches, sales enablement and analyst briefings. The challenge is making technical capabilities understandable and useful to the people buying them.
Product strategy at ShuftiLearning that informs the work.
Education
BSc. Economics with Data Science
Information Technology University, Lahore · CGPA 3.51/4.0
Econometrics, statistics and machine learning form the quantitative foundation of my work.
Professional certifications
Data Science Professional Certificate
Harvard Online
Data Science Professional Certificate
Harvard Online
Nine-course programme covering probability, inference, regression, and machine learning. Includes R programming, data wrangling with dplyr, visualisation with ggplot2, Unix/Linux, Git, and RStudio. Case studies in election forecasting, financial crisis analysis, and recommendation systems.
Verify certificate
Business Analytics Specialization
Wharton / UPenn
Business Analytics Specialization
Wharton / UPenn
Five-course Wharton programme covering customer analytics (descriptive, predictive, prescriptive), operations analytics, people analytics for recruiting and compensation, and accounting analytics linking financial and non-financial metrics to performance.
Verify certificate
Google Advanced Data Analytics
Google
Google Advanced Data Analytics
Python, exploratory data analysis, data cleaning and visualisation with Tableau, descriptive and inferential statistics, hypothesis testing, linear and logistic regression, ANOVA, chi-square tests, and machine learning fundamentals using Jupyter Notebook.
Verify certificate
Deep Learning Specialization
DeepLearning.AI
Deep Learning Specialization
DeepLearning.AI
Five-course programme by Andrew Ng covering neural network foundations, CNNs, sequence models, and Python/TensorFlow implementation. Topics: Adam, Dropout, BatchNorm, Xavier/He initialisation, RNNs, LSTMs, with case studies in healthcare, autonomous driving, and music generation.
Verify certificateTensorFlow Developer Professional Certificate
DeepLearning.AI
TensorFlow Developer Professional Certificate
DeepLearning.AI
Four-course programme covering neural network construction in TensorFlow, computer vision with CNNs, image augmentation, NLP with RNNs/GRUs/LSTMs, text tokenisation, sequence modelling, and time series forecasting using deep neural networks.
Verify certificate
Business Analytics Specialization
Univ. of Illinois
Business Analytics Specialization
Univ. of Illinois
Data strategy, exploratory data analysis, and machine learning algorithms applied to business decision-making. Tools: Power BI, Alteryx, RStudio. Spans finance, marketing, retail, supply chain management, and social media analytics.
Verify certificateML Engineering for Production (MLOps) Specialization
DeepLearning.AI · Google
ML Engineering for Production (MLOps) Specialization
DeepLearning.AI · Google
Full production ML lifecycle: project scoping, data pipelines, feature engineering with TFX, model serving, workflow automation, progressive delivery, model fairness, explainability, drift detection, and continuous retraining.
Verify certificate
DevOps on AWS
Amazon Web Services
DevOps on AWS
Amazon Web Services
Continuous integration, delivery, and deployment on AWS. Infrastructure as code with CloudFormation, automated release pipelines using CodePipeline, CodeCommit, CodeDeploy, and CodeBuild, IAM best practices, and operational monitoring.
Verify certificatePractical Data Science on the AWS Cloud Specialization
DeepLearning.AI · Amazon Web Services
Practical Data Science on the AWS Cloud Specialization
DeepLearning.AI · Amazon Web Services
Exploratory data analysis, AutoML, and text classification with SageMaker. End-to-end ML pipelines with BERT and Hugging Face, feature engineering with SageMaker Feature Store, hyperparameter tuning, A/B testing, and human-in-the-loop pipelines with Amazon Augmented AI.
Verify certificateOutside the product brief.
Usually a thriller on the reading list, hip-hop in the headphones, or a match to follow. I’m drawn to stories with difficult choices and details that reward a second look.