Aahad Abubaker

Working on a variety of projects in web development, data science, and machine learning. I have experience in building web applications, analyzing data, and creating machine learning models. My work has been presented at various conferences and showcases.

These works have been presented at:

My work spans web development, data science, and high-performance computing. Check out the Projects page and the Github repos for more info!

Links

Google Scholar

Languages

Java, Python, C, C++, C#, SQL, Rust, TypeScript, Powershell

Libraries & Frameworks

React, Next.js, Django, Streamlit, numpy, seaborn, OpenCV, Scikit-learn, TensorFlow, Apache Spark, PyTorch, DataBricks

Current Work

AI & LLM Development

  • LoRA techniques, supervised fine-tuning, dataset preparation for deployed models
  • Agentic AI system monitoring tickets via WebSockets with RAG over documentation and automated troubleshooting

Academic Research Work

Bioinformatics - Cell Detection

Developing advanced computational methods for cell detection and analysis in bioinformatics applications.

HPC - High Throughput Hash Algorithm Benchmarking

C++ optimizations for high-performance computing projects focused on benchmarking and optimizing high throughput hash algorithms.