Muhammad Faraz

Software Engineer

I am an AI-driven technology professional with hands-on experience in software development, machine learning, and automation. Currently pursuing my Master's in Artificial Intelligence in Germany. My goal is to contribute to impactful AI projects within leading tech companies or teams.

Professional Experience

Data Analyst

SocialB.Digital · 2022–2023

Worked on collection, cleaning, and transformation of large datasets (CSV, JSON, API sources), reducing data inconsistencies by 25%.
Built Python and SQL pipelines to automate data workflows, reducing manual processing time by 30%.
Analyzed historical data for patterns in sales, customer behavior, and operational metrics to support data-driven decisions.
Created interactive dashboards with PowerBI, Tableau, and Matplotlib, improving stakeholder understanding of trends.
Managed version control and Agile workflows using Git, VS Code, and JIRA.

Full Stack Software Engineer

Freelance · 2021–2022

Architected full‑stack solutions merging React.js frontends with FastAPI/Flask backends, accelerating delivery by 35%.
Developed CI/CD with Jenkins, Docker, and GitHub Actions, reducing manual cycles by 40%.
Optimized RESTful APIs and microservices with PostgreSQL and MongoDB, cutting response time by 25%.
Focused on automation, pipeline creation, and self‑hosting for scalable projects.

Education

Masters in Artificial Intelligence

Brandenburg Technical University, Cottbus‑Senftenberg · 2023–Present

Modules: Data Mining, Information Retrieval, Neural Signal Analysis, Virtual Reality and Agents, Brain Computer Interaction, Computational Neuroscience, Computational Thinking and Programming

Bachelor of Science in Computer Science

NFC Institute of Engineering and Technology, Multan‑Pakistan · 2017–2021

Modules: Data Warehousing, Human Computer Interaction, Database Systems, Design & Analysis of Algorithms, Object Oriented Programming

Skills

Programming & Frameworks

PythonJavaScriptTypeScriptFastAPIFlask React.jsVue.jsHTML5CSS3Tailwind CSS BootstrapJestPyTestSelenium

Data & ML

NumpyPandasMatplotlibHugging FaceH2O.ai PowerBITableauGoogle AutoML

Databases & APIs

PostgreSQLMySQLMongoDBRESTful APIsSQL

DevOps & Platforms

DockerKubernetesGitHub ActionsJenkins CloudflareLinuxn8n

Tooling & Workflow

GitGitHubJIRACursorPostmanFigma ExcelAgile DevelopmentUX/UI

Other

ShopifyUnreal EngineWordpress

Achievements & Projects

2nd Place - 9th CASSINI Hackathon: Space for Healthcare (2025)

ESA Initiative · Senftenberg, Germany · Pan‑European Competition

Developed Luna Smart Health Platform, integrating EU Copernicus Sentinel‑5p satellite data with health recommendations. Built real‑time atmospheric monitoring using CAMS datasets, correlating environmental data with WHO statistics for predictive insights.

Architected satellite data pipeline processing Copernicus Earth observation data via RESTful APIs, achieving 90%+ accuracy in geospatial health recommendations.
Led full‑stack development across 72‑hour sprint, managing backend APIs to frontend UI design under pressure.
Implemented correlation algorithms linking air pollutants (NO2, SO2, PM2.5) with health databases for predictive risk modeling.