CSC392-CSC492-Building-AI-ML-systems/ai-identities
Feb 2025 – Mar 2025
2 Months active
Languages Used
CSVPythonYAMLBashTOML
Technical Skills
Configuration ManagementData ConfigurationData EngineeringLLM EvaluationPrompt EngineeringPython Scripting
badamish
PROFILE
Badamish
Shreena Badami developed two core frameworks in the CSC392-CSC492-Building-AI-ML-systems/ai-identities repository, focusing on automated evaluation and performance testing for language models. She built an Automated SimpleQA Evaluation Framework using Python, YAML, and CSV to benchmark factual QA prompts across multiple LLM providers, enabling repeatable and data-driven assessment of identity-related prompts. Shreena also delivered the Gemini API Performance Evaluation Toolkit, introducing Python and Bash scripts for standardized benchmarking, including random-average standard deviation calculations. Her work emphasized configuration management, prompt engineering, and robust API integration, providing a reproducible foundation for model selection, capacity planning, and regression monitoring in production environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
2,047
Activity Months2
Your Network
55 peopleSame Organization
@mail.utoronto.ca43
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025Summary for 2025-03: Delivered the Gemini API Performance Evaluation Toolkit within the ai-identities repository to standardize and accelerate performance testing of Gemini-based language models. Key work included new performance evaluation scripts, updates to existing Bash scripts to target Gemini API endpoints and models, and the addition of Python and Bash tooling for random-average standard deviation calculations to enable more comprehensive benchmarking. No major bugs were reported this month. The work lays the foundation for data-driven capacity planning and regression monitoring across Gemini API integrations.
1 Commits • 1 Features
Mar 1, 2025Summary for 2025-03: Delivered the Gemini API Performance Evaluation Toolkit within the ai-identities repository to standardize and accelerate performance testing of Gemini-based language models. Key work included new performance evaluation scripts, updates to existing Bash scripts to target Gemini API endpoints and models, and the addition of Python and Bash tooling for random-average standard deviation calculations to enable more comprehensive benchmarking. No major bugs were reported this month. The work lays the foundation for data-driven capacity planning and regression monitoring across Gemini API integrations.
March 2025
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary focusing on key accomplishments in building AI identities. Delivered an Automated SimpleQA Evaluation Framework that enables automated benchmarking of factual QA prompts across multiple LLM providers. The framework includes a YAML configuration for test setup, a CSV-based suite of test cases, and a Python evaluation script to measure accuracy and cross-provider parity. This work provides a repeatable, data-driven foundation for QA across identity-related prompts, accelerating evaluation cycles and improving reliability for production-oriented AI identities.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary focusing on key accomplishments in building AI identities. Delivered an Automated SimpleQA Evaluation Framework that enables automated benchmarking of factual QA prompts across multiple LLM providers. The framework includes a YAML configuration for test setup, a CSV-based suite of test cases, and a Python evaluation script to measure accuracy and cross-provider parity. This work provides a repeatable, data-driven foundation for QA across identity-related prompts, accelerating evaluation cycles and improving reliability for production-oriented AI identities.
Activity
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Quality Metrics
Correctness93.4%
Maintainability86.6%
Architecture86.6%
Performance73.4%
AI Usage53.4%
Skills & Technologies
Programming Languages
BashCSVPythonTOMLYAML
Technical Skills
API IntegrationConfiguration ManagementData ConfigurationData EngineeringLLM EvaluationPerformance TestingPrompt EngineeringPython ScriptingShell Scripting
Repositories Contributed To
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