AI/ML at Qualcomm R&D | MS(Research) 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
Indian Institute of Technology
Software Engineer
June 15, 2026 – Present
ecodepth-iitd.github.io
March 21, 2024 – June 15, 2024
This is the webpage of CVPR'2024 paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"
View ProjectEcoDepth
March 17, 2024 – November 20, 2025
[CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"
View Projectfpcv_slides
July 19, 2023 – February 3, 2024
Slides of "First Principles of Computer Vision" Lectures by Prof. Shree K. Nayar || Code for Automatic Slides Generation from Video Lectures.
View ProjectNVIDIA_Jetson_Inference
May 9, 2023 – May 26, 2024
This repo contains model compression(using TensorRT) and documentation of running various deep learning models on NVIDIA Jetson Orin, Nano (aarch64 architectures)
View ProjectDigital-Heritage-App
November 29, 2022 – December 11, 2022
Digital-Heritage-App — GitHub repository
View ProjectBlogs
March 28, 2022 – March 13, 2024
This repository contains Technical Blogs and Interview Experiences of top IITs and IISc for admission into M.S by Research or similar programs.
View ProjectComputer-Vision-COL780
October 21, 2021 – March 10, 2024
Programming Assignments of IIT Delhi's Computer Vision course offered by Prof. Chetan Arora
View ProjectAutomate_Video_Highlights_generation
September 19, 2020 – September 22, 2020
This small project involves creating video highlights from lengthy videos using Python. The video content could range from cricket and football matches to surveillance footage and more.
View ProjectHelmet-Detection-using-yolov3
May 25, 2020 – August 30, 2024
this is a ML project that is used to detect helmets from any number of input images. Used YOLOv3 to make the model.
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in Computer Vision and Machine Learning, with a strong academic/research bent (CVPR paper, IIT Delhi course assignments). While this demonstrates deep technical interest, the diversity of projects outside this niche is limited. The target role is 'Software Engineer', which is broad. The candidate's current experience is listed as 'Software Engineer' at an academic institution, which may align with research-focused software engineering roles but might require broader software development lifecycle experience for general industry roles. The lack of diverse team projects or open-source contributions beyond personal repositories makes it difficult to fully assess collaborative cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a focus on technical implementation and research. Without psychometric or English test scores, it is difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration. The candidate's experience is primarily in personal projects and an ongoing role at an academic institution, which may require adaptation to a corporate operational environment.