Ramesh Sridharan
Data AnalystAI 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
Director of Machine Learning and AI at Reveal HealthTech
I'm an engineering leader, researcher, and educator focusing in the potential of machine learning, data science, and artificial intelligence to improve people's lives. With over 10 years of experience in machine learning, I've experienced the entire ML lifecycle: academic research, algorithm development, training models at scale, productionizing models, and leading world-class teams to do all of the above and more.
Massachusetts Institute of Technology
Ph.D., Electrical Engineering and Computer Science
January 1, 2011 – January 1, 2015
Massachusetts Institute of Technology
Master of Science (S.M.), Electrical Engineering and Computer Science
January 1, 2008 – January 1, 2011
University of California, Berkeley
BS, Electrical Engineering and Computer Science
January 1, 2004 – January 1, 2008
Reveal HealthTech
Director of Machine Learning Architecture
April 1, 2024 – Present
Manifold
Machine Learning Architect
August 1, 2019 – March 1, 2024
Oakland, CA
University of California, Berkeley
Course Instructor
August 1, 2018 – Present
Berkeley, California
Captricity
Head of Machine Learning
September 1, 2016 – June 1, 2019
Oakland, CA
Captricity
Machine Learning Engineer
August 1, 2015 – August 1, 2016
Oakland, CA
meet - Middle East Entrepreneurs of Tomorrow
Volunteer Computer Science Instructor
July 1, 2015 – August 1, 2015
Jerusalem
Data Science Intern
June 1, 2013 – August 1, 2013
Menlo Park, CA
MIT
Graduate Student
September 1, 2008 – June 1, 2015
UC Berkeley
Graduate Student Instructor
June 1, 2006 – May 1, 2008
Cultural Fit Analysis
The candidate's diverse experience across academia, startups (Captricity, Manifold, Reveal HealthTech), and a large tech company (Facebook intern) suggests adaptability to different organizational cultures. Their volunteer work and teaching roles indicate a commitment to education and community, which can be a positive cultural asset. The target role of 'Data Analyst' seems to be a significant step down from their 'Director of Machine Learning Architecture' and 'Machine Learning Architect' roles, potentially indicating a mismatch in ambition or a desire for a different type of challenge. This could be a point of discussion to ensure alignment with the target role's scope and responsibilities.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership and teaching roles suggests strong communication, mentorship, and team collaboration skills. Their work at Manifold and Captricity indicates an ability to lead research, develop cutting-edge algorithms, and bring machine learning models to production, which aligns with operational effectiveness. The lack of psychometric test results prevents a direct assessment of work attitude or stress handling.