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Software Engineer @ Apple | Ex-Samsung | CSE IIT Delhi
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
> I am currently working as Software Engineer at Apple. > I am experienced in C++,JAVA, Algorithms, Data structures, Problem-solving, Design Patterns, OOPS. > masters(M.Tech) from Indian Institute Of Technology, Delhi.
Indian Institute of Technology, Delhi
Master of Technology - MTech, Computer Science And Engineering
January 1, 2018 – January 1, 2020
Madhav Institute of Technology and Science, Gwalior
Bachelor of Engineering - BE, Information Technology
January 1, 2014 – January 1, 2018
Kendriya Vidyalaya
High School, Physics,Chemistry,Mathematics,Information Practices
January 1, 2013 – January 1, 2014
Apple
Software Engineer
April 1, 2022 – Present
Bengaluru, Karnataka, India
Samsung Electronics
Senior Engineer
January 1, 2021 – April 1, 2022
Bengaluru, Karnataka, India
Indian Institute of Technology, Delhi
Project Scientist
July 1, 2020 – January 1, 2021
New Delhi, Delhi, India
Machine Learning
Stanford University
June 23, 2026 – Present
Present with Purpose: Create/Deliver Effective Presentations
IBM
June 23, 2026 – Present
Learning Docker
June 23, 2026 – Present
Visual Studio Essential Training: 06 Debug and Troubleshoot Code
June 23, 2026 – Present
Samsung S/W Competency Professional
Samsung Electronics
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's experience is primarily in backend/research roles (Software Engineer, Senior Engineer, Project Scientist) with a focus on Machine Learning and 5G. The target role is 'Frontend Developer', which represents a significant mismatch with the documented experience and certifications. This suggests a potential lack of direct cultural fit for a dedicated frontend role without further evidence of frontend expertise.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, indicating no data.