Priyal T.

About Priyal T.

I am a Computer Engineer currently pursuing a PhD in Computer Science, with experience in machine learning, deep learning, and Python development.My work includes designing end-to-end ML pipelines and optimizing model performance. I have improved model accuracy, reduced training time using GPU optimization, and developed scalable training frameworks.Beyond research, I have industry experience as a Python Developer where I worked on backend modules, REST APIs, SQL optimization, and deployment workflows in Linux environments.I am open to opportunities in AI/ML, data analysis, and applied computing roles where I can contribute strong technical skills and continue to grow in industry-focused environments. Open to full-time and internship opportunities

Experience

1. Research Scholar Machine Learning, Deep Learning & Computer Vision

   Nirma University

   Aug 2022 — Present

   Designed and maintained end-to-end Python-based ML pipelines for data preprocessing, model training, evaluation, and benchmarking.Developed and evaluated multiple architectures including U-Net, Multitask U-Net, RCNN, and CNN-based denoisers.Implemented and benchmarked preprocessing techniques such as denoising, super-resolution, histogram equalization, and filtering pipelines.Conducted hyperparameter tuning, ablation studies, and systematic performance analysis to improve robustness and generalization.Built modular, experiment-ready systems enabling reproducibility, scalability, and rapid iteration.Automated segmentation and classification evaluation pipelines to standardize inference and reduce manual effort.Managed versioned experiments using Git, Jupyter, and remote GPU infrastructure.Contributing author on a research paper currently under review.

Education

• Gujarat Technological University (GTU)

  Bachelor of Engineering , Computer Engineering

• Nirma University

  Doctor of Philosophy - PhD, Computer Science

• Gujarat Technological University (GTU)

  Master of Engineering, Software Engineering