I am a Computer Science student at Texas Tech University focused on systems engineering, high-performance computing, and machine learning. My work emphasizes research, real world applications, and building solutions that create meaningful impact. I also have a strong interest in biomedical applications and robotics.
My motivation is solving complex problems, especially close to the hardware. I am an Honors Undergraduate Research Scholar in the DISCL Lab, where I research agentic pipelines for genomic variant interpretation and write CUDA kernels for GPU inference. My career goal is to lead engineering teams that develop advanced tools for human health and efficiency.
Check out my repositories below to see the code behind my recent projects. Message me if you want to collaborate on something innovative.
- Languages: C, C++, Rust, Python, CUDA, Fortran, Assembly, JavaScript
- Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain, MPI, OpenMP, OpenACC, CUDA-Q
- Libraries: NumPy, scikit-learn, OpenCV, MediaPipe, ONNX Runtime, three.js
- Tools: Git, Linux, Docker, Slurm, JupyterHub, HPE Cray EX
- Email: naeem.islam@ttu.edu
- Website: naeemislam.com
- LinkedIn: mdnaeemislam
