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MSE in Data Science
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Meta
Data Scientist
June 26, 2026 – Present
Tiny-Aya-Under-the-hood
March 10, 2026 – Present
This project investigates how Tiny Aya processes information across languages by analyzing how representations evolve across model layers.
View Projectmulti-agent-aya-for-workforce
July 4, 2024 – September 2, 2024
Multi-agent chat platform that leverages Aya's multilingual capabilities to break down language barriers in the workplace.
View ProjectMultilingual-Chatbot
July 3, 2024 – September 3, 2024
Multilingual-Chatbot — Dev.to repository
View Projectembedding-lexica-creation
June 11, 2020 – July 19, 2024
embedding-lexica-creation — Dev.to repository
View ProjectSiameseNets_PyTorch
April 27, 2020 – May 1, 2020
Implementation of Siamese Networks for Image Classification in PyTorch
View ProjectCS188x_1-Artificial-Intelligence-Berkeley
June 18, 2016 – February 21, 2017
Project solutions for CS188 Artificial Intelligence course
View ProjectCRF-MNIST-ImageDenoising
March 21, 2016 – June 11, 2016
Denoising of noisy MNIST dataset images using Conditional Random Fields
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic or personal, focusing heavily on AI/ML concepts. While this aligns with a Data Scientist role, the lack of diverse project types or team-based work makes it difficult to assess broader cultural fit. The listed current role at Meta starting in 2026 suggests a future or planned engagement, not current professional experience, which limits the assessment of real-world collaboration and impact.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no completed psychometric or English tests.