Sujin H.

I’m a Machine Learning and Data Science specialist with hands-on experience solving complex, real-world problems — from building custom ML pipelines for astrophysical data to fine-tuning deep learning models. Currently working as a research engineer at the University of Texas at Dallas, where my work is funded by the National Science Foundation (NSF). I am developing AI/ML models that turn raw, high-dimensional data into scientific insight. I've built - A machine learning pipeline for noisy spectroscopic data - Physics-informed neural networks that model real-world constraints - Stable diffusion models, and text-to-image based pipelines - Full-stack ML workflows with Python, PyTorch, TensorFlow, and FastAPI Whether you need a robust ML solution, help reframing a tricky data problem, or someone to debug and optimize a messy model — I bring not just code, but clarity and rigor. - Custom ML model development - Deep learning projects with real constraints, not toy data I am: Analytical, technical, keen observer, learn quickly, problem solver, hard working, multi-lingual, philosophical yet practical, kind-hearted, compassionate, take measured risks, calm under pressure, excellent communicator.