Google DeepMind India | LLMs, efficiency & representation learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am interested in foundational ML/ deep learning, and its applications in building robust, efficient ML systems. I look forward to hearing from academics working on or interested in these areas of research, and phd students with a strong research record. Current work: concept drift, domain generalization, model uncertainty & calibration, spurious correlations, adversarial attacks, compute efficiency, etc., in the context of supervised learning, distillation, language models
University of Washington
Doctor of Philosophy (Ph.D.), Computer Science
N/A – Present
Indian Institute of Technology, Bombay
Bachelor of Technology (B.Tech.), Computer Science
N/A – Present
Google DeepMind
Researcher
June 1, 2024 – Present
Bengaluru, Karnataka, India
Researcher
March 1, 2020 – June 1, 2024
Greater Bengaluru Area
Microsoft India
ML Scientist Manager
January 1, 2012 – January 1, 2020
Bengaluru Area, India
University of California, San Diego
Post-doc Researcher
January 1, 2009 – January 1, 2012
Greater San Diego Area
Microsoft
Research Intern
January 1, 2007 – January 1, 2007
Redmond
Fraunhofer-Gesellschaft
Visiting Researcher
January 1, 2005 – January 1, 2005
Berlin Area, Germany
Bell Labs
Member of Technical Staff
January 1, 1999 – January 1, 2000
Murray Hill, NJ
Indian Institute of Science
Research Intern
January 1, 1999 – January 1, 1999
Bengaluru Area, India
Tata Institute of Fundamental Research
Research Intern
January 1, 1998 – January 1, 1998
Mumbai
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards advanced research and development, aligning well with a 'Research Associate' role. Their experience across various prestigious institutions and companies, coupled with a history of publishing, indicates a drive for innovation and contribution to the scientific community. The breadth of their research topics, from database systems to neuroscience and AI, suggests a versatile and interdisciplinary mindset, which can be a strong cultural asset in a research-focused environment. However, the lack of specific project details makes it difficult to assess alignment with specific team cultures or methodologies.
Soft Skills & Operational Fit
The candidate's extensive experience in research and team management suggests strong problem-solving, critical thinking, and potentially leadership skills. The diverse research areas indicate adaptability and a broad intellectual curiosity. However, without specific psychometric test results or interview data, a detailed assessment of stress handling, team collaboration, and work attitude is not possible.