Hamza Kashif

I am an aspiring AI automation and machine learning developer driven by a strong interest in workflow optimization, data pipeline design, and predictive modeling. I am passionate about structuring raw data and automating repetitive tasks into clear, actionable, data-driven systems. I love to leverage my curiosity with a mix of technical structure to solve real-world problems and drive measurable efficiency.

As an individual, I find myself thriving in dynamic environments, and I love to work in teams and groups where I can contribute to bringing ideas to life. I also enjoy learning new skills regardless of their degree of relevance to my degree because I strongly believe that learning adds value. I also love taking on challenges that push me to grow.

I am particularly drawn to challenging projects that foster growth.

AI Developer Bootcamp at Qubit Dynamics (2025-07 – 2025-09)

• Designed and trained an NLP model on Google Colab to automate code summarization and defect detection across multiple programming languages.
• Cleaned raw Twitter data, conducted EDA (exploratory data analysis) and engineered features to create clear visual charts showing trends in customer feedback.
• Built a Python model in Jupyter and Colab that cleaned student performance data, mapped feature correlations, and predicted academic GPA outcomes.
• Developed a machine learning model in Jupyter Notebook that cleans housing data to estimate house prices based on key property features.

Bachelors in Computer Science – The University of Faisalabad

Fsc in Pre-engineering – Roots IVY college (2024)