About
Let me introduce myself.
I am Krishna Kewat, a graduate computer science professional with a strong focus on machine learning, deep learning, and medical image analysis. My work centres on building robust, interpretable models and end-to-end ML pipelines that address real-world problems, particularly in healthcare and data-driven decision systems. I enjoy combining solid theoretical understanding with practical implementation, ensuring that models are not only accurate but also reliable and explainable.
Profile
I have hands-on experience developing and evaluating deep learning models using Python, PyTorch, and TensorFlow, with a strong emphasis on clean data pipelines, model generalisation, and performance analysis. My projects demonstrate a research-oriented mindset, where I carefully analyse model behaviour using metrics, confusion matrices, and feature-level insights rather than relying on accuracy alone. I am comfortable working independently on complex problems and continuously improving systems through experimentation and iteration.
- Fullname: Krishna Kewat
- Birth Date: May 19, 1999
- Email: krishnakewat2124@gmail.com
Skills
My technical skill set spans machine learning, deep learning, and software fundamentals. I am proficient in building convolutional neural networks, applying transfer learning, and designing reproducible ML workflows. I have experience working with structured and unstructured data, implementing preprocessing pipelines, and evaluating models using appropriate statistical metrics. Alongside ML, I maintain a solid foundation in data structures, algorithms, and version-controlled development practices, allowing me to build scalable and maintainable solutions.
