Help & Supportcareers@gravityer.com
Researcher at Google Deepmind
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Google Deepmind
Backend Engineer
June 18, 2026 – Present
crysxpp
August 29, 2021 – July 4, 2023
CrysXPP: An Explainable Property Predictor for Crystalline Materials (NPJ Computational Materials - 2022)
View Projectrelation_extraction_baselines
November 20, 2020 – November 20, 2020
Codes for different pre-existing models for RE
View Project2019_CSGen_ACL
June 14, 2019 – February 20, 2020
code for the paper "Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text" accepted ACL 2019 https://arxiv.org/abs/1906.05725
View ProjectVACS
May 26, 2019 – November 14, 2019
Code and data for "A Deep Generative Model for Code-Switched Text" accepted in IJCAI 2019
View Projectdynamic_node_embedding
April 6, 2019 – September 13, 2019
dynamic_node_embedding — GitHub repository
View Projectnevae
June 1, 2018 – November 22, 2019
Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019
View Projectsemi-synthetic-data-generation
October 29, 2017 – April 23, 2018
semi-synthetic-data-generation — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project history is heavily focused on academic research and machine learning, primarily using Python. While this demonstrates a strong technical foundation, the diversity of projects outside of this specific domain is limited. The target role is 'Backend Engineer', and while the current role at Google Deepmind aligns, the personal projects do not explicitly showcase typical backend engineering skills (e.g., distributed systems, API design, database management, cloud platforms). This suggests a potential gap in direct cultural fit for a general backend engineering role without further validation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief and do not offer insights into collaboration, problem-solving approaches, or communication style. No psychometric test results are available.