Qamar U.

Qamar U. is a research-driven Machine Learning Engineer, highly skilled in Large Language Models (LLMs), Medical AI, Time Series Forecasting, and Computer Vision. Based in Bahawalnagar, Punjab, Pakistan, Qamar ranks in the global top 0.4% on Kaggle, having earned two Silver Medals in over 50 competitions. With a Bachelor of Science in Mathematics, he has a strong foundation in Mathematical Modeling and Statistical Analysis. At VFIXALL, Qamar develops end-to-end production machine learning pipelines, optimizing inventory with demand forecasting models and reducing data latency by 60% through automated workflows. He maintains CI/CD pipelines using GitHub Actions and Jenkins for continuous deployment. His achievements include deploying interactive BI dashboards and participating in notable projects like the Stanford RNA 3D Folding challenge, where he utilized advanced Transformer models and optimization techniques. His open-source work includes live applications for document QA and data queries, along with a pneumonia detection system achieving 94% test accuracy.