Aman Kansal

Stanford, California

United States

amankansal.cse@gmail.com

I’m a Machine Learning Engineer with expertise in AI, currently building innovative solutions at Parallel Web Systems Inc. as an early engineer. My research in artificial intelligence has been published in top-tier conferences including NeurIPS and ICASSP.

I hold a Master’s in Computer Science with AI concentration from Stanford University and a Bachelor’s in Computer Science from IIT Bombay. Throughout my academic journey, I’ve been recognized with prestigious awards including the Charpak Lab Scholarship, Institute Academic Prize, and NTSE Scholar.

My professional experience spans across leading technology companies including previous roles at Granica where I enhanced person-name classification systems using ChatGPT and RoBERTa, achieving 1.5x recall and 3x precision improvements, and Samsung Electronics where I developed diagnostic data analysis software for performance optimization.

I’m passionate about solving complex technical challenges and developing innovative AI solutions that create meaningful impact. My expertise includes machine learning, deep learning, computer networking, reinforcement learning, and generative adversarial networks (GANs). I’m always open to collaborating with fellow researchers and engineers who share a passion for pushing the boundaries of artificial intelligence.

Feel free to connect with me on LinkedIn or reach out via email to discuss research collaborations, innovative AI projects, or exciting opportunities in machine learning.

news

Nov 01, 2024	Thrilled to join Parallel Web Systems Inc. as Member of Technical Staff! Building AI agents for deep web research as an early engineer.
Jun 01, 2023	Joining Granica as Machine Learning Engineer
Sep 01, 2022	Starting my Master’s in Computer Science (AI concentration) at Stanford University! Ready to dive deep into AI research and innovation.
Sep 01, 2021	Joining Samsung Electronics as Software Engineer
Jul 01, 2017	Started my Bachelor’s in Computer Science at IIT Bombay! Excited to begin this journey in one of India’s premier engineering institutions.

selected publications

NeurIPS

Multimodal clinical benchmark for emergency care (mc-bec): A comprehensive benchmark for evaluating foundation models in emergency medicine

E Chen, A Kansal, J Chen, and 4 more authors

In Advances in Neural Information Processing Systems, 2023

Abs Bib

@inproceedings{chen2023multimodal,
  title = {Multimodal clinical benchmark for emergency care (mc-bec): A comprehensive benchmark for evaluating foundation models in emergency medicine},
  author = {Chen, E and Kansal, A and Chen, J and Jin, BT and Reisler, J and Kim, DE and Rajpurkar, P},
  booktitle = {Advances in Neural Information Processing Systems},
  volume = {36},
  pages = {45794--45811},
  year = {2023},
}

Sci Data

MC-MED, multimodal clinical monitoring in the emergency department

A Kansal, E Chen, BT Jin, and 2 more authors

Scientific Data, 2025

Abs Bib

@article{kansal2025mcmed,
  title = {MC-MED, multimodal clinical monitoring in the emergency department},
  author = {Kansal, A and Chen, E and Jin, BT and Rajpurkar, P and Kim, DA},
  journal = {Scientific Data},
  volume = {12},
  number = {1},
  pages = {1094},
  year = {2025},
}