Anirudh Mani
Hello! I am an undergraduate student (Class of 2026) in the School of Computer Science at Carnegie Mellon with a strong academic background and hands-on experience in ML Engineering, Deep Learning, Computer Vision, NLP, and software engineering. Currently, I also work as a Machine Learning Engineer Intern at Rockfish Data, a Synthetic Data Generation Platform that helps operationalize AI workflows by addressing data security, privacy, sparsity, and model training use cases.
The experiences and expertise I am building are geared toward realizing my goal of becoming a Machine Learning Engineer focused on building scalable, impactful ML systems that solve real-world problems.
Through my coursework, internships, and independent projects, I’ve developed proficiency in coding languages (Python, Java, JavaScript, SQL, C++, C, HTML/CSS, Standard ML), libraries/frameworks (PyArrow, PyTorch, OpenCV, React, Django, MySQL), and developer tools (Git, AWS, VS Code, Jupyter/Colab).
I bring curiosity, diligence, and attention to detail to every project, along with a proven ability to communicate clearly and independently lead cross-functional initiatives. I strive to deliver results through technical depth, collaboration, and leadership.