BS Computer Science
Virtual University of Pakistan
Currently pursuing a BS in Computer Science, with a focus on building practical skills in AI, machine learning, and software development.
About
Saad Kabeer
AI/ML Engineer | Python, Machine Learning & AI Automation
I build practical AI and machine learning projects with Python, AI APIs, and automation tools. My work includes document Q&A, RAG workflows, workflow automation, and model experimentation. I focus on building systems I can test, debug, understand, and explain.
Background
I’m a BS Computer Science student at Virtual University of Pakistan with a focus on practical AI/ML and automation. I mainly work with Python, machine learning tools, AI APIs, RAG workflows, and vector-based retrieval systems. I’m interested in building AI applications that solve specific problems and can be tested and improved through hands-on experimentation.
During a two-month AI/ML internship, I fine-tuned a LLaMA 3.2 3B model using PEFT and QLoRA, then evaluated its outputs using ROUGE-L, BERTScore, and manual review. I’ve also built document Q&A and automation workflows using n8n, Gemini, Supabase, and Google Drive.
I enjoy the practical side of AI work: connecting tools, testing ideas, debugging failures, comparing results, and turning a concept into a working system.
Education
Skills
Tools
- Supabase
- n8n
- Google Gemini
- Google Drive
AI/ML Tools
- Hugging Face
- Unsloth
AI/ML Libraries
- PEFT
Fine-tuning Methods
- QLoRA
Language Models
- LLaMA 3.2
Data Visualization
- Matplotlib
- Seaborn
Data Analysis & Manipulation
- NumPy
- Pandas
Languages
- Python
Machine Learning Libraries
- scikit-learn
Selected certifications
Python for Data Science, AI & Development
IBM
- Python
InnoQuest Bootcamp in Artificial Intelligence and Machine Learning
InnoVista Pvt Limited
AI for Everyone
DeepLearning.AI
View credential