Dhruv Mohan
Backend EngineerLFG
Member since June 27, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
LFG
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
socketio-client.cpp_sample
February 27, 2023 – July 29, 2020
socketio-client.cpp_sample — GitHub repository
View Projectchain_playground
January 5, 2021 – January 6, 2021
Exploring a decomposable and composable design pattern for dataflow programming
View ProjectG_clip_issue
February 8, 2018 – February 8, 2018
Repo to host script and perfunctory information for cpu only execution of op after the addition of gradient clipping
View ProjectOptic_disc_segmentation
December 13, 2017 – January 21, 2018
Two stage optic disc segmentation.
View ProjectCarvana-Image-Masking-Challenge
October 15, 2017 – October 15, 2017
Kaggle Carvana Image Masking Challenge solution
View ProjectFrameExtractor
September 2, 2017 – September 2, 2017
Small program to extract frames from a video in a fixed time interval
View ProjectSuper_TF
July 18, 2017 – July 3, 2018
Simple framework to construct machine learning models with tensorflow
View ProjectImage-similarity-GMM
January 11, 2017 – January 11, 2017
The project checks the similarity of a query image against a set of images by calculating the KL divergence of the Gaussian mixture models of the images.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focused on machine learning and image processing, which may not directly align with a general Backend Engineer role without further context. The diversity of project types is limited to personal initiatives. The absence of team projects or professional experience makes it difficult to assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.