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Research Scientist TL @Waymo | Multimodal Foundational Models | Stanford
I am excited about pushing the boundaries of what is possible with AGI today and in achieving ASI in the future, and the transformative role it plays in improving all facets of human life in the real world. I am actively working on multi-modal large scale foundational models (Gemini) to deliver impact of AGI to problems beyond language on embodied AI domains like autonomous vehicles. I am currently a tech lead at Waymo pioneering foundational models that are scaling multimodal autoregressive models (world modeling), improving motion forecasting, planning and safety of real world autonomous vehicles. Previously I was the tech lead for Camera based perception stack at Zoox(Amazon), and before that I was a graduate student researcher at Stanford University.
Mila - Quebec Artificial Intelligence Institute
Intern, Artificial Intelligence
January 1, 2015 – May 1, 2015
Stanford University
Master’s Degree, Computer Science
January 1, 2015 – January 1, 2017
Birla Institute of Technology and Science, Pilani
B.E. Hons, Computer Science
January 1, 2011 – January 1, 2015
Waymo
Senior Staff Research Scientist, Tech Lead
November 1, 2021 – Present
Mountain View, California, United States
Zoox
Senior Research Engineer/TLM (Computer Vision/Perception)
June 1, 2020 – December 1, 2021
Zoox
Research Engineer (Deep Learning and Computer Vision)
April 1, 2017 – June 1, 2020
Zoox Inc.
Computer Vision Research Intern
June 1, 2016 – September 1, 2016
Menlo Park, California
Stanford University
Research Assistant
January 1, 2016 – January 1, 2017
Mila - Quebec Artificial Intelligence Institute
Research Intern
January 1, 2015 – June 1, 2015
Laboratoire d’Informatique des Systèmes Adaptatifs
Arista Networks
Software Development Intern
May 1, 2014 – July 1, 2014
Bengaluru Area, India
Polyphonic Music Generation
January 1, 2014 – March 1, 2014
Developed a robust deep learning architecture to model temporal dependencies and generate sequences. Demonstrated successful application to polyphonic music generation.
Home Automation Using a Brain Computer Interface
January 1, 2014 – Present
Created a Brain Computer Interface using EEG signals for home automation task. Created a hardware based implementation to control a table lamp and a table fan using a EEG headset.
Document Summarization
September 1, 2013 – Present
Relevance determination for extractive document summarization
Handwritten Digit Recognition
August 1, 2013 – September 1, 2013
Worked on developing an efficient and accurate feature selection and extraction technique for digit recognition
Cultural Fit Analysis
The candidate has a strong background in cutting-edge AI research and development, primarily within the autonomous vehicle domain. Their experience at Waymo and Zoox, coupled with academic research at Stanford and Mila, demonstrates a drive for innovation and a strong research-oriented mindset. While the target role is 'Data Analyst', the candidate's profile is heavily skewed towards advanced AI/ML research and engineering. This suggests a potential mismatch in the specific day-to-day responsibilities and focus, as a Data Analyst role typically involves more data manipulation, statistical analysis, reporting, and dashboarding, rather than foundational model development or computer vision research. The breadth of skills is high within AI/ML, but less so in traditional data analysis tools and methodologies, which might impact cultural fit for a pure data analyst team.
Soft Skills & Operational Fit
The candidate's experience as a Tech Lead and their involvement in building and growing teams at Zoox suggest strong leadership and collaboration skills. Their work on complex, multi-disciplinary projects implies excellent problem-solving and strategic thinking. The numerous publications and patents indicate a proactive and innovative mindset. However, without specific psychometric or communication test results, a direct assessment of operational fit and soft skills is limited to inferences from their professional history.