Senior Research Engineer, Research Manager @ Adobe Research
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
What I cannot create, I do not understand.
Rutgers University
Computer Science
N/A – Present
Northwestern Polytechnical University
EE
N/A – Present
Adobe
Senior Research Engineer II, Senior Research Manager
July 1, 2025 – Present
Adobe
Senior Research Engineer, Research Manager
April 1, 2025 – July 1, 2025
Adobe
Senior Research Engineer
June 1, 2023 – April 1, 2025
Adobe
Research Engineer II
August 1, 2021 – June 1, 2023
Samsung Electronics America
Senior Machine Learning Engineer
April 1, 2019 – July 1, 2021
San Francisco Bay Area
JD.COM
Machine Learning Engineer I & II
April 1, 2017 – April 1, 2019
San Francisco Bay Area
Artrendex
Deep Learning Engineer
December 1, 2016 – April 1, 2017
New Jersey, United States
Siemens
Research Intern
July 1, 2016 – October 1, 2016
Princeton, NJ
Princeton University
Visiting Student
January 1, 2016 – July 1, 2016
Princeton, NJ
Cultural Fit Analysis
The candidate has a strong background in research and development within large tech companies (Adobe, Samsung, JD.com, Siemens) and a startup (Artrendex). This diverse experience across different organizational structures suggests adaptability. The focus on cutting-edge AI/ML research and deployment aligns with an innovative, fast-paced culture. However, the target role is 'Data Analyst', which is a significant pivot from their extensive experience in ML Research and Engineering. While ML skills are valuable for advanced analytics, the core responsibilities of a Data Analyst (e.g., data cleaning, visualization, reporting, business intelligence) are not explicitly detailed in their experience. This misalignment could impact cultural fit for a pure data analyst role, though they would be an excellent fit for a Machine Learning Engineer or Applied Scientist role.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles (Tech Lead, Manager) and mentions driving initiatives and working with cross-org top talents, indicating strong collaboration and leadership skills. The Adobe Tech Excellence award suggests high performance and impact. However, without specific psychometric test results or interview data, a detailed assessment of stress handling, work attitude, and team collaboration is not possible.