Summary
Dikshant Sagar is a Ph.D. student and machine learning researcher at UC Irvine with 8 years of experience developing and deploying deep learning systems across healthcare, drug discovery, physics, and scientific AI. He has authored 9+ peer-reviewed papers and earned distinctions like an ACM-BCB Best Paper Finalist and a UCI Research Fellowship for work that translates research into real-world impact. His projects span fine-tuning large vision-language models for neutrino event analysis, physics-guided generative models for ligand design, and sparsity-aware models for computational microscopy, all demonstrating consistent gains in accuracy and efficiency. Comfortable with large-scale model training and distributed GPU optimization, he is proficient in PyTorch, Hugging Face, DeepSpeed, and CUDA and has end-to-end experience from research to deployment. Beyond research, he has teaching and peer-review experience and a track record of collaborations with industry partners such as NVIDIA, highlighting an ability to bridge academic rigor with practical engineering.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 4.0/4.0, Master of Science - MS, Computer Science, 4.0/4.0 at California State University, Los Angeles
High School, Science and Computer Science, High School, Science and Computer Science at Seth Anandram Jaipuria School
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Indraprastha Institute of Information Technology, Delhi
University of California, Irvine