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exploring intelligence, artificial and otherwise
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Assessing your cultural and operational fit
@microsoft @dsgiitr
Data Scientist
June 13, 2026 – Present
fedmix
August 24, 2023 – November 6, 2023
unofficial implementation of the ICLR '21 paper FedMix: Approximation of Mixup under Mean Augmented Federated Learning
View Projectbeginners-hypothesis-2023
March 20, 2023 – April 6, 2023
DSG's Beginners Hypothesis 2023 (For Sophomore Recruitments)
View Projectmico-first-principles
February 5, 2023 – April 5, 2023
our submission for the microsoft membership inference competion at SaTML 2023
View ProjectPractical-DL-Sprint
October 29, 2022 – October 30, 2022
Repo for DSG's Practical Deep Learning Sprint Series
View Projectexploring-dynamic-stealing
June 28, 2022 – December 24, 2022
Exploring model extraction into dynamic neural networks
View ProjectML-InterviewQs
May 21, 2022 – October 7, 2022
This is a question bank for practicing Machine Learning for Interviews.
View Projectreproduction-review-kd
December 26, 2021 – April 16, 2022
reproduction of the CVPR'21 paper Distilling Knowledge via Knowledge Review for the ML Reproducibility Challenge 2021
View ProjectD2L-Exercises
July 27, 2021 – April 16, 2022
Solutions to the exercises in Dive into Deep Learning, in PyTorch
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards research and academic challenges in Machine Learning, which aligns with a culture of continuous learning and problem-solving. However, the projects are predominantly personal/academic, and there is only one listed professional experience which is current and without a start date, making it difficult to fully assess cultural fit in a corporate environment. The lack of diverse project types (e.g., production systems, client-facing applications) might indicate a narrower focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.