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Machine Learning Software Engineer at NVIDIA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Interested in Machine Learning, Deep Learning, Computer Vision and Artificial Intelligence
Georgia Institute of Technology
Master's degree, Computer Science ( Machine Learning)
January 1, 2014 – January 1, 2015
National Institute of Technology, Tiruchirappalli
Bachelor of Technology (BTech), Electrical, Electronics and Communications Engineering
January 1, 2008 – January 1, 2012
NVIDIA
Machine Learning Software Engineer
January 1, 2016 – Present
NVIDIA
Machine Learning Software Engineer
January 1, 2016 – Present
NVIDIA
Intern - Deep Learning Applied Research team
May 1, 2015 – August 1, 2015
Santa Clara
Georgia Institute of Technology
Graduate Teaching Assistant
August 1, 2014 – December 1, 2015
NVIDIA
Verification Engineer
August 1, 2012 – July 1, 2014
Banglore, India
Traffic flow estimation and prediction
January 1, 2012 – April 1, 2012
For my Bachelor’s thesis, I worked on video analysis for traffic level estimation and prediction in a team of three under Mr. E. S. Gopi.
Cultural Fit Analysis
The candidate has a strong background in Machine Learning and Deep Learning, primarily within a single company (NVIDIA) and academic institutions. While this demonstrates deep expertise, the project diversity is limited to one academic project. The target role is 'Data Analyst', which may not fully align with the candidate's 'Machine Learning Software Engineer' and 'Verification Engineer' experience, suggesting a potential mismatch in day-to-day responsibilities and focus. The breadth of skills listed is also limited in the provided data.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond the candidate's academic and professional roles. No psychometric test results are available.