Anand Muralidhar
Computer VisionAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Generative AI, Computational ads, AR
Building ML systems at Amazon scale for contextual advertising and robot detection on ads. Leveraging techniques from deep learning, generative AI, NLP to build and deploy ML systems with significant business impact. Leading science efforts for teams across Bangalore and London. Published multiple papers in top tier ML conferences. Previously, I was co-founder at a startup and we developed Android apps based on augmented reality and GPGPU to create a compelling shopping experience.
University of Illinois Urbana-Champaign
Ph.D., ECE
January 1, 2007 – January 1, 2011
Indian Institute of Science (IISc)
M.S., ECE
January 1, 2004 – January 1, 2007
Visvesvaraya Technological University
B.E., ECE
January 1, 1999 – January 1, 2003
Anandalaya
High school
January 1, 1991 – January 1, 1999
Amazon
Principal Scientist
April 1, 2024 – Present
Amazon
Senior Applied Scientist
May 1, 2020 – April 1, 2024
Isha Foundation
Volunteer
July 1, 2019 – March 1, 2020
Greater Coimbatore Area
Amazon
Senior ML Scientist
November 1, 2016 – July 1, 2019
Bengaluru, Karnataka, India
Tryamble
Co Founder
March 1, 2015 – October 1, 2016
Greater Bengaluru Area
Qualcomm
Senior Lead Engineer
September 1, 2013 – March 1, 2015
Bangalore
Bell Labs
Member Technical Staff
August 1, 2011 – August 1, 2013
Bangalore, India
Qualcomm
Summer intern, Corp R&D
May 1, 2010 – August 1, 2010
New Jersey, USA
University of Illinois at Urbana-Champaign
Research Assistant, Coordinated Science Lab
January 1, 2007 – January 1, 2011
Ittiam Systems
Engineer, Voiceband modem team
July 1, 2003 – May 1, 2004
Bangalore, India
Cultural Fit Analysis
The candidate demonstrates a diverse career path, including significant corporate roles at Amazon and Qualcomm, academic research, and entrepreneurial ventures. This breadth of experience suggests adaptability and a willingness to explore different environments. The volunteer work indicates a potential for social responsibility. The target role of Computer Vision aligns well with the candidate's past work in computer vision for advertising and AR/VR applications, as well as their academic background. The experience in managing remote teams and setting up research teams indicates a proactive and leadership-oriented approach, which could be a strong cultural fit for a senior role requiring initiative and team building.
Soft Skills & Operational Fit
The candidate's experience at Amazon as a Principal Scientist and Senior Applied Scientist, along with managing a research team, suggests strong leadership, problem-solving, and project management skills. The volunteer experience at Isha Foundation indicates a potential for community involvement and adaptability. The co-founder role at Tryamble highlights innovation and a hands-on approach to product development. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.