Ariz_ Shahzad_

Computer Science undergraduate and full-stack developer with hands-on Python data science experience

Talent

Lahore, PunjabMember since August 15, 2026

PythonTypeScriptC#JavaSQLPandasNumPyMatplotlibSeabornScikit-learnOpenCVJupyter NotebookHaar CascadesMTCNNSSDExploratory data analysisTableauPower BIMongoDBReduxNode.jsExpress.jsCloud deploymentMicroservices architectureCI/CD pipelinesGitAgile/Scrum

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PythonTypeScriptC#JavaSQL

About

Computer Science undergraduate and full-stack developer with hands-on Python data science and applied machine learning experience, including model evaluation and tuning with Scikit-learn across forex market data pipelines and computer-vision face recognition projects.

Comfortable across the full data workflow: collection, preprocessing, exploratory analysis, and evaluation, plus SQL and Excel for analysis and reporting. Proficient across multiple languages (Python, Java, JavaScript/TypeScript, C++, C#) with practical exposure to cloud deployment, CI/CD pipelines, containerization basics, microservices architecture, and distributed systems through hands-on training and full-stack projects.

Experience with RESTful and SOAP-based API design and integration, Agile/DevOps teamwork, and Git-based version control. Actively upskilling in Tableau/Power BI and cloud AI fundamentals (Google Cloud, Azure AI), with growing interest in AI/LLM model deployment and MLOps; seeking an entry-level Data Science / Data Analyst / AI Engineering role to build toward that path.

Experience

Software Engineer Intern, Chex.AI Project at Techling (Private) Limited (2024-01 – Present)

Integrated frontend with backend RESTful APIs for photo upload, inspection data, and session handling, improving data reliability between client and server.
Profiled and optimized API calls and component re-renders, improving page load performance and responsiveness.
Collaborated in an Agile/Scrum team with Git-based version control, pull-request workflows, and CI/CD-driven release cycles under sprint deadlines.

Cloud & Deployment Trainee at Digital Ocean Tech (2023-01 – 2024-12)

Provisioned and deployed 3+ full-stack applications on cloud infrastructure through hands-on, project-based training.
Configured scalable hosting environments and practiced deployment workflows supporting production-ready applications.
Built and maintained CI/CD pipelines for automated builds and deployments; explored microservices/distributed-systems deployment patterns across cloud environments.