

Hey, I’m Nabeel Ghauri—a tech enthusiast with over 11 years of experience building scalable, innovative software solutions. I thrive on solving complex problems using Python, Java, .NET, Golang, and modern frameworks like React and Angular. I’ve led teams, designed microservices, and integrated AI/ML models to deliver impactful results. From optimizing AWS cloud infrastructure to creating interactive dashboards with Python Dash, I love turning ideas into reality. Let’s build something amazing together!
Connect me on - nabeel.g.2809@gmail.com
Cell - +1 319.380.5572
Led a team of Python engineers to design and implement large-scale data processing solutions, handling terabytes of data.
Built web applications using Python, Django, AWS (EC2, S3, RDS, Lambda), and integrated IoT data for real-time energy grid monitoring.
Developed predictive maintenance models in Databricks to reduce downtime and improve grid reliability.
Created interactive dashboards with Python Dash and D3.js, making complex data visually engaging for stakeholders.
Automated data validation and processing, saving time and improving accuracy.
And many more
Designed end-to-end supply chain management apps using React, Node.js, and TypeScript, streamlining inventory and vendor coordination.
Integrated Python-based data pipelines to process large financial datasets efficiently.
Built predictive analytics models for investment management, forecasting portfolio returns and optimizing workflows.
Automated repetitive tasks using AWS Lambda and Step Functions, reducing manual intervention.
Enhanced data visualization with Matplotlib and Seaborn, simplifying complex analysis for HR and supply chain teams.
And many more
Developed Python scripts to automate daily tasks and improve call center efficiency.
Built predictive analytics algorithms to forecast supply chain demands, reducing stockouts and overstock situations.
Created real-time dashboards with Plotly and D3.js for better decision-making.
Optimized investment management infrastructure by deploying Python microservices on AWS Lambda.
Refactored legacy code to improve scalability and reduce technical debt.
And many more
Designed RESTful APIs using Flask and integrated IoT devices for real-time supply chain tracking.
Automated data collection and processing with Python scripts, improving analysis speed.
Built visualization tools with Dash and Matplotlib to communicate insights effectively.
Optimized machine learning algorithms for better performance and accuracy.
Managed AWS resources, including EC2, S3, and RDS, for scalable data storage and processing.
And many more
Developed Python/Django web applications with PostgreSQL and MySQL integrations.
Automated testing using Selenium and Jenkins for continuous integration.
Worked on data cleaning and reshaping using NumPy and Pandas.
Built modern frontend architectures with React, Redux, and ES6.
Migrated customer data from legacy systems to AWS, ensuring seamless transitions.