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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
llm-pretraining-jax
October 14, 2023 – October 14, 2023
llm-pretraining-jax — GitHub repository
View ProjectDiscourse_TDG_AACL2022
October 7, 2022 – November 13, 2022
Discourse_TDG_AACL2022 — GitHub repository
View ProjectDiscoure_Profiling_RL_EMNLP21Findings
September 9, 2021 – November 23, 2021
Discoure_Profiling_RL_EMNLP21Findings — GitHub repository
View ProjectEvent-Coref-EACL-2021
January 22, 2021 – November 23, 2021
Event-Coref-EACL-2021 — GitHub repository
View ProjectDiscourse_Profiling
April 7, 2020 – September 21, 2020
Discourse_Profiling — GitHub repository
View ProjectACL-2018-Event-Coreference
June 5, 2018 – June 8, 2019
ACL-2018-Event-Coreference — GitHub repository
View ProjectTemporal_Relation
October 3, 2017 – October 3, 2017
Temporal_Relation — GitHub repository
View ProjectTAC-KBP-2017-Participation
September 29, 2017 – June 7, 2019
TAC-KBP-2017-Participation — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in academic-style NLP/ML research, which may indicate a strong fit for roles requiring deep technical research or specialized ML engineering. However, the lack of diverse project types (e.g., web development, backend services, mobile) or team-based projects limits the assessment of broader cultural fit for a general 'Software Engineer' role. The focus on personal GitHub repositories suggests self-driven learning and initiative.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.