MUHAMMAD ARSLAN

I’m a computer engineering student who brings hands-on experience across data engineering, backend development, and AI/NLP systems. I’ve delivered four end-to-end software projects, including an NLP-powered academic evaluation tool and an enterprise pharmacy management system.

In freelance work, I developed and delivered four full-stack applications independently, including NLP/AI systems and Linux network security environments. I also automated billing, inventory, and academic grading workflows, reducing processing time by an estimated 60% per project while maintaining stable, bug-free releases using Agile practices.

As a Data Engineering Intern, I designed ETL pipelines using Pandas and NumPy, improving data quality and analysis readiness by 60%. I built normalized relational database schemas in Microsoft SQL Server using stored procedures, triggers, and views, and I trained and evaluated NLP/ML models with Scikit-learn and NLTK to achieve over 90% keyword detection accuracy.

I’m especially motivated by building practical systems that combine reliable data modeling with intelligent text processing. From real-time Streamlit dashboards to secure VPN browser environments on Ubuntu (OpenVPN, iptables, DNS), I enjoy turning complex requirements into dependable, reproducible engineering.