Mitacs '22 Globalink Research Intern | Deep Learning Enthusiast | Bertelsmann Scholar | AWS Graviton Winner | CalHacks '21 Winner | Wikimedia Developer
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Assessing your cultural and operational fit
forage
June 13, 2024 – Present
Forage is a MW user script that provides an additional editing interface that makes editing easier, by showing the expected properties for a page (based on its "instance of" values), and providing simple inputs to let users add values for any such property.
View ProjectGenieNet
September 18, 2021 – October 5, 2023
CGI Detection using Deep Convolutional Neural Networks
View ProjectCanasta
July 1, 2021 – Present
MediaWiki Docker image for Canasta, an all-in-one MediaWiki stack for easy deployment and management of enterprise-ready MediaWiki on production environments.
View ProjectAgroAssist
May 5, 2021 – May 18, 2021
AgroAssist aims to leverage deep-learning to help farmers diagnose their crops and then seamlessly connect them to experts
View Projectstreet-vision
February 25, 2021 – March 30, 2021
deep-learning based data extraction from surveillance videos
View Projectperfect-pause
October 10, 2020 – February 19, 2021
Ever felt sleepy enough to pause a video but also lazy enough to not do it. This is the player for you then
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal, self-driven initiatives, particularly in the AI/ML domain. This suggests a proactive and curious individual. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or adaptability within a structured organizational culture. The diversity of projects indicates a broad interest in applying technology to different problems.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily lists personal projects without team context or professional experience.