Senior Software Enginer at LinkedIn | my premiums are exhausted
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Maulana Azad National Institute of Technology
Bachelor of Engineering - BE, Computer Science
January 1, 2011 – January 1, 2015
Senior Software Engineer
March 1, 2021 – Present
Software Engineer
July 1, 2019 – February 1, 2021
Flipkart
Software Development Engineer
July 1, 2017 – June 1, 2019
Bengaluru, Karnataka, India
Qualcomm
Software Engineer
March 1, 2017 – November 1, 2017
Hyderabad, Telangana, India
Global Analytics
Software Engineer
June 1, 2015 – February 1, 2017
Chennai, Tamil Nadu, India
TopRatedMovies (Android Application)
August 1, 2016 – Present
TopRatedMovies is an android application which displays the image gallery of movies(which have three categories TOPRATED, POPULAR and FAVOUITE based upon the user preference which can be switched via settings) The movie data is retrieved from tmdb.org server which provide the free API for movie details and cached via storing in device memory using sqlite,clicking on thumbnail user can view the rating, release date, summary, reviews and play trailer.He can also mark a movie as favourite so that later on he can view it in favourite category. The data is synchronized with tmdb.org server every day to keep the application data updated.
A new approach to HITS Algorithm
February 1, 2015 – Present
Hyperlink-Induced Topic Search is a link analysis algorithm that rates Web pages.. A good hub represents a page that pointed to many other pages, and a good authority represents a page that is linked by many different hubs. The scheme assigns two scores for each page: its authority, which estimates the value of the content of the page, and its hub value, which estimates the value of its links to other pages. The project aims to apply a non-uniform distribution in calculating the hub and authority score to reduce spam. This calculation is done for several iterations until the convergence condition is met. The hub and authority score of each page is calculated in parallel using CUDA. The project successfully reduces the spam only based upon the structure of the web links. The Twitter Social Network uses a HITS style algorithm to suggest user accounts to follow
Image Histogram Equalization using Parallel Processing in Open CL
November 1, 2014 – January 1, 2015
Histogram equalization is a method in image processing of contrast adjustment using the image's histogram. This method usually increases the global contrast of many images, especially when the usable data of the image is represented by close contrast values. Through this adjustment, the intensities can be better distributed on the histogram. This allows for areas of lower local contrast to gain a higher contrast. In the project, Image Histogram equalization was implemented using Open CL. Using Open CL, the correction is applied to the Grayscale Image Matrix in parallel. Each pixel value undergoes normalization in parallel, which improves the overall contrast of the image.
Cultural Fit Analysis
The candidate has a strong background in software engineering across various domains, including web-scale systems (LinkedIn, Flipkart) and embedded/performance computing (Qualcomm, CUDA/OpenCL projects). The 'TopRatedMovies' project aligns directly with the target role of Android Developer. The diversity of projects (Android app, parallel computing, algorithm optimization) suggests adaptability and a broad technical interest. However, the lack of specific team-based project descriptions or contributions makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical problems (HITS algorithm, image processing). The experience at large companies suggests an understanding of professional development environments and collaboration. However, specific soft skill assessments are not available.