Open to opportunities

Priyam Shree

@priyamshree

Message

I build interpretable machine learning systems for healthcare decision support.

India

Message

What I'm looking for

I'm looking to build machine learning and data-driven products, particularly in healthcare, where I can apply deep learning, interpretable AI, analytics, and reproducible experimentation while continuing to grow through hands-on project work.

I've built healthcare-focused machine learning products, including a maternal health risk prediction system that combines XGBoost, rule-based clinical scoring, SHAP explanations, and a Streamlit dashboard with real-time alerts and what-if simulation.

As a Research Intern at the National Institute of Technology, Rourkela, I implemented and evaluated Autoencoder and VAE models in PyTorch on MNIST, reducing 784-dimensional inputs to 16-dimensional latent representations. I built reproducible workflows to compare reconstruction quality, generative capability, and visualization-based evaluation.

At ACM-W, SRM Institute of Science and Technology, I led technical events, helped organize a Microsoft-sponsored hackathon, and mentored junior members in data science and project development. I also developed a ResNet-based chest cancer detection model that achieved 92% classification accuracy.

Experience

Work history, roles, and key accomplishments

Current

Research Intern

Current

National Institute of Technology, Rourkela

Jan 2026 - Present (7 months)

Implemented and evaluated Autoencoder and VAE models in PyTorch on MNIST, reducing 784-dimensional inputs to 16-dimensional latent representations and comparing reconstruction performance using quantitative metrics and visualization. Built reproducible experimentation workflows for model comparison, evaluation and visualization, documenting trade-offs between reconstruction quality and generative

PyTorch MNIST Model Evaluation Data Visualization

Technical Lead

ACM-W, SRM Institute of Science and Technology

Feb 2025 - Aug 2026 (1 year 6 months)

Led the organization of a Microsoft-sponsored hackathon featuring domains including Healthcare, AI/ML, Web Development, and Open Innovation, coordinating event planning and participant engagement. Mentored junior members in data science concepts and project development, and coordinated technical events and coding sessions within the ACM-W community.

Event Planning Mentor Data Science technical coordination