UC San Diego | IIT Madras | Deep Learning, Human-Computer-Interaction, Biomedical Design
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
pgdl
October 22, 2020 – April 19, 2021
Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning
View ProjectAlgorithms-on-Graphs
July 18, 2020 – July 20, 2020
Implementations of the Coursera Graph Algorithms Course.
View ProjectJPEGTurbo-Unity
July 8, 2020 – July 22, 2023
A libjpeg-turbo wrapper for Unity - Runs on HoloLens and Oculus Quest
View ProjectLoopy-Belief-Propagation
April 27, 2020 – May 27, 2020
An implementation of loopy belief propagation for binary image denoising. Both sequential and parallel updates are implemented.
View ProjectNeural_Causal_Modelling
October 12, 2019 – November 23, 2019
Delineating Causality in Neural Networks
View Projecttactile-texture-transfer
October 6, 2019 – January 15, 2020
Transferring real-world, tangible textures to images
View ProjectDigitalHistoPath
September 20, 2019 – November 28, 2022
DigitalHistoPath — GitHub repository
View ProjectBioExp
August 28, 2019 – March 24, 2023
Explainability of Brain Tumour Segmentation Models
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on academic and research-oriented deep learning and machine learning tasks. While this aligns with the technical demands of a Data Scientist role, the lack of information on team projects, industry experience, or diverse application areas makes it difficult to fully assess cultural fit beyond technical alignment. The projects are primarily personal, which might indicate a preference for independent work, but this cannot be definitively concluded without more data.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions are brief and do not detail collaboration or problem-solving processes.