Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Research | Modeling & Systems
At Apple, I have had the opportunity to contribute to the advancement of the Special Projects Group and AIML through work in computer vision and natural language processing. Our efforts have focused on developing scene understanding models for autonomous systems, generative adversarial networks and language models that support enhancements in predictive typing and QuickPath technologies. The work is grounded in a comprehensive end-to-end training pipeline, alongside detailed error analysis and visualization techniques. I've had the opportunity of collaborating with my amazing colleagues, and together we strive to push the boundaries of machine learning, aiming to research and also create solutions that meaningfully improve user experiences.
New York University
MS, Computer Science
January 1, 2010 – January 1, 2012
Delhi College of Engineering
B.E., Information Technology
January 1, 2004 – January 1, 2008
NVIDIA
AI Research
April 1, 2025 – Present
Santa Clara, California, United States
Apple
Senior Machine Learning Research Engineer Multimodal ML models
July 1, 2024 – April 1, 2025
Apple
Senior Machine Learning Research Engineer Computer Vision
July 1, 2022 – July 1, 2024
Apple
Senior Machine Learning Engineer NLP
November 1, 2016 – September 1, 2022
Yahoo
Software Engineer, Machine Learning
January 1, 2014 – October 1, 2016
Sunnyvale, California
Amazon
Software Development Engineer
July 1, 2012 – January 1, 2014
Bank of America
Technology Summer Analyst
June 1, 2011 – August 1, 2011
New York
New York University
Master's in Computer Science
September 1, 2010 – May 1, 2012
New York City Metropolitan Area
Pitney Bowes Business Insight India Pvt. Ltd.
Software Engineer
June 1, 2008 – August 1, 2010
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an ML Engineer role, particularly in a research-heavy or innovative environment. Their diverse experience across different facets of AI (NLP, CV, Multimodal) and their tenure at companies known for innovation (Apple, NVIDIA) suggest a proactive, learning-oriented, and adaptable individual. The breadth of their project involvement, from foundational ML systems to cutting-edge generative models, indicates a willingness to tackle varied challenges and contribute across different product areas.
Soft Skills & Operational Fit
The candidate's extensive experience at leading tech companies suggests strong problem-solving, collaboration, and adaptability skills. Their work on complex ML systems implies a structured approach to development and a focus on operational excellence. The descriptions of their roles at Apple indicate a capacity for independent research and engineering within large teams.