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Meta
Data Scientist
June 25, 2026 – Present
tabzilla
June 21, 2022 – March 22, 2024
Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
View ProjectSubsetSelection_NAS
February 9, 2022 – August 24, 2024
SubsetSelection_NAS — GitHub repository
View Projectmeta_nas
May 1, 2021 – July 8, 2021
Our code for the 2nd place solution for the CVPR-NAS 2021 Track 3 competition
View ProjectNASLib
May 8, 2019 – November 11, 2024
NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.
View Projecttetravex
March 11, 2019 – April 13, 2020
Detects a Tetravex board on your computer screen, solves it, and inputs the solution
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in Neural Architecture Search and related machine learning research, indicating a strong academic or research-oriented focus. While this demonstrates deep technical expertise in a specific area, the diversity of projects outside of NAS is limited. The target role is 'Data Scientist', which can encompass a broad range of responsibilities from research to product development and business intelligence. The current project portfolio suggests a strong fit for a research-focused Data Scientist role, but less so for roles requiring broader data analysis, A/B testing, or business strategy skills. The future start date at Meta as a Data Scientist suggests potential for cultural alignment with a large tech company, but actual fit cannot be determined without more information.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the current role at Meta has a future start date, making it difficult to evaluate real-world collaboration, problem-solving, or communication in a professional setting. Project descriptions are concise but do not offer insight into soft skills.