NLP Team - OpenMined | Computer science and engineering student | Final year | IIT Ropar | Currently working on building a Privacy preserving NLP Library.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
OpenMined
Data Scientist
June 16, 2026 – Present
Intent_classification
November 9, 2020 – November 18, 2020
Intent Classification with Hugging Face, Mlfow experiment tracking, Behavioural testing of models with checklist
View ProjectAdvitiyaHackathon
February 1, 2020 – April 19, 2020
Submission for advitiya techfest AI Hackathon using Bert for patent classification.
View ProjectFastMRI-Challenge
September 14, 2019 – December 8, 2022
FacebookAI FastMRI Challenge , Reconstructing MRI images from K-space data.
View ProjectVideo_Generation_Transformer
June 2, 2019 – June 1, 2020
New Transformer network-based GAN for video generation.
View ProjectObject-Localisation-Flipkart
February 15, 2019 – February 14, 2019
FlipkartGrid Object Localisation Challenge
View ProjectNews-sentiment-SIH19
February 15, 2019 – August 30, 2019
This repo deals with a problem statement of SIH '19, where we needed to scrape and categorise news as positive or negative.
View ProjectInter-IIT-Techmeet-Vision-Challenge
October 13, 2018 – June 13, 2019
Deep learning, U-net implementation , Image Segmentation , Satellite Image Segmentation
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards research and development in AI/ML, aligning well with an innovative and technically driven culture. The focus on personal projects and hackathons suggests a self-starter who is passionate about the field. However, the lack of diverse team projects or open-source contributions beyond personal repositories makes it difficult to fully assess collaborative cultural fit. The single current experience as 'Data Scientist' at OpenMined, without further details, provides limited insight into their professional cultural integration.
Soft Skills & Operational Fit
The candidate's project history suggests a strong drive for self-learning and practical application of technical skills. The variety of projects indicates adaptability and a willingness to tackle diverse problems. However, without psychometric test results or interview data, it's difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.