I am a Ph.D. student at the Indian Institute of Science (IISc), Bangalore working on computer vision research problems.
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 Science
Data Scientist
June 16, 2026 – Present
Depth-Aware-Editing
July 20, 2025 – October 27, 2025
This project contains the source code for the depth aware editing project. [ICCV'25]
View Projectcompass-control-src
June 9, 2025 – June 11, 2025
Codebase for compass control project, CVPR 2025
View Projectmp3D
April 9, 2025 – April 11, 2025
This repo will contain codebase of monoplace 3D paper accepted at CVPR 2025
View Projectpose-regressor
November 3, 2024 – November 3, 2024
This repo has code for pose prediction network, that predicts azimuthal angle given a single image
View ProjectPreciseControl
July 14, 2024 – October 6, 2024
This repo contains the code for PreciseControl project [ECCV'24]
View ProjectText2Place
July 7, 2024 – October 13, 2024
Text2Place : Affordance aware Semantic Mask Generation
View Projectdebiasing_gen_models
October 13, 2023 – January 6, 2025
This repo is for codebase and experiments for debiasing project on diffusion models.
View Projecttsne-representation-learning
November 16, 2021 – November 16, 2021
This repository has implementation of tsne based representation learning for NN pretraining.
View ProjectFaceLandmarkDetection
December 1, 2020 – December 1, 2020
This repository contains the codebase for experimentation on semi-supervised facial landmark detection.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on academic research in computer vision and deep learning, which aligns well with a Data Scientist role that involves R&D. However, the lack of diverse project types (e.g., production systems, data engineering, business intelligence) and a single, current academic employment suggests a potentially narrow exposure to different operational environments. The candidate's experience level is listed as 0, which contradicts the depth of their project work, indicating a potential mismatch in self-assessment or data entry. This could impact cultural fit in a fast-paced industry setting requiring broader skill sets beyond pure research.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.