UKGovernmentBEIS/inspect_ai
Jan 2026 – Jan 2026
1 Month active
Languages Used
Python
Technical Skills
AI ResearchAPI DevelopmentMachine LearningPythonRefactoringUnit Testing
Jaden Fiotto-Kaufman
PROFILE
Jaden Fiotto-kaufman
Jaden focused on enhancing model interpretability and reliability within the UKGovernmentBEIS/inspect_ai repository by developing the NNterp model provider. This work enabled extraction of log probabilities, access to hidden states during generation, and support for full chat templates, directly benefiting interpretability research. Jaden refactored the NNterpAPI to streamline device handling, allowing Nsight to manage device placement for input tensors, which reduced computational overhead and improved reliability. The integration included comprehensive unit tests and updates to test utilities, ensuring robust validation. Leveraging Python, machine learning, and API development skills, Jaden delivered a well-structured feature with thoughtful attention to maintainability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
443
Activity Months1
Your Network
132 peopleShared Repositories
132
BorisTheBraveMember
Alan PopeMember
Alex.RemediosMember
Alex.RemediosMember
Alex BoweMember
Alexandra AbbasMember
Alex KedrykMember
Alex LloydMember
andrei-apolloMember
Work History
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for UKGovernmentBEIS/inspect_ai focusing on enhancing model interpretability capabilities and reliability enhancements within the NNterp integration. This work combines provider-level improvements with a targeted device-handling refactor, enabling Nsight to manage device placement and exposing richer internals for evaluation researchers.
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for UKGovernmentBEIS/inspect_ai focusing on enhancing model interpretability capabilities and reliability enhancements within the NNterp integration. This work combines provider-level improvements with a targeted device-handling refactor, enabling Nsight to manage device placement and exposing richer internals for evaluation researchers.
January 2026
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture100.0%
Performance90.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI ResearchAPI DevelopmentMachine LearningPythonRefactoringUnit Testing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline