
Staff AI Architect & Scientist - Tech Lead
I am a researcher responsible for developing and delivering novel deep learning and AI-based solutions to scientific problems. Broadly, I enjoy developing accurate and efficient solutions to real-world problems using mathematical-physics. More recently, I am keenly interested in applied research at the physics and AI interface, both using AI to do physics better and using physics to build better AI. Actively looking forward to developing various products in this space that can help businesses thrive. My current research interests include Applied Machine Learning & AI, Deep Learnjg for HPC applications, Algorithms & Optimization, Numerical Methods & Solving PDEs, Inverse Problems, Pattern Recognition, Computational Science, High Performance Computing, and allied topics. I am self-driven and highly collaborative with a focus on timely deployment of real-world solutions. Please contact me for further information. Contact Details: emailID: janaki.vamaraju@gmail.com vjanaki@utexas.edu Personal Website: https://janakivamaraju.github.io/
nvidia.com
metacareers.com
shell.com
utexas.edu
exxonmobil.com
halliburton.com
larsentoubro.com
San Jose, California, United States
Staff AI Architect & Scientist - Tech Lead
NVIDIA
• www.linkedin.com/company/nvidia
• Full-time
Jul 2023 - Present
Austin, TX & Santa Clara, CA
Senior Research Scientist
Meta
• www.linkedin.com/company/meta
• Full-time
Aug 2022 - Jun 2023
Menlo Park, California, United States
AI Researcher
Shell
• www.linkedin.com/company/shell
• Full-time
Aug 2021 - Aug 2022
Machine Learning Scientist
Shell
• www.linkedin.com/company/shell
• Full-time
Jan 2020 - Jul 2021
Graduate Research Assistant
The University of Texas at Austin
• www.linkedin.com/school/theuniversityoftexasataustin-
May 2015 - Dec 2019
United States
Graduate Teaching Assistant
The University of Texas at Austin
• www.linkedin.com/school/theuniversityoftexasataustin-
Aug 2013 - May 2015
jsw.in