Portfolio · 2026

Machine learning research and quantitative systems, built to ship.

I am a Computer Science + Applied Mathematics student at Emory, focused on graph neural networks, diffusion models, and performance-critical simulation. This portfolio pulls directly from GitHub and highlights research and engineering work.

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Emory CS + Applied Math
ML Research ML + Quant

Currently focused on

  • Graph Neural Networks + Differentiable Programming
  • Diffusion Models and Generative Systems
  • Quant Microstructure + Execution Research

Currently exploring

GNN Scaling · RL Execution · Diffusion Guidance

Open to

Research Collaborations · ML/AI Projects · Quant Internships · Open Source

Selected Projects

ML and Quant research with reproducible engineering.

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Research + Build

Work that blends rigorous ML research with production systems.

ML in Healthcare Multi-Agent Pathfinding Graph Machine Learning

Research

Applied ML research in graph learning, generative models, and quantitative systems with reproducible experiments.

Systems

Low-latency simulation, C++/Python integrations, and scalable pipelines that move real data fast.

Product

iOS and cloud experiences that make complex ML workflows usable in real-world environments.

Toolbox

Languages, frameworks, and platforms I regularly work with.

Python C++ Java PyTorch TensorFlow NumPy Pandas scikit-learn XGBoost Graph Neural Nets Diffusion Models NLP Swift / iOS AWS Amplify GraphQL Flask SQL REST APIs OpenCV OpenGL Blender Linux/Unix

Let’s Build Together

Tell me about the product you want to bring to life. I’m open to new collaborations and ambitious ideas.

Email

aditya.dutta [at] emory.edu

Based in

Atlanta, GA · Emory University