ScottLogic/InferESG
Nov 2024 – Jan 2025
3 Months active
Languages Used
MarkdownPythonYAMLJinjaShellTypeScriptJinja2
Technical Skills
Backend DevelopmentCypherData IngestionData ModelingLLM IntegrationLicensing
Ivan Mladjenovic - Scott Logic
PROFILE
Ivan Mladjenovic - Scott Logic
Over three months, Ivan Mladjenovic developed and enhanced ESG data extraction features for the ScottLogic/InferESG repository, focusing on dynamic knowledge graph integration and agent-based analysis. He implemented CSV-driven Cypher and data model generation in Neo4j, enabling automated knowledge graph construction and improved data modeling. Ivan introduced prompt-driven query integrity using Python and TypeScript, adding explicit null-filtering to ensure data quality. He refined agent architecture for more reliable routing and tool selection, expanded asynchronous learning, and improved web scraping robustness. His work included updating documentation and licensing, demonstrating depth in backend development, configuration management, and large language model integration.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
7
Lines of code
6,078
Activity Months3
Your Network
45 peopleShared Repositories
4
Work History
January 2025
5 Commits • 4 Features
Jan 1, 2025January 2025 monthly summary for ScottLogic/InferESG focusing on delivering key architectural improvements, enhanced data collection quality, and improved developer documentation to drive reliability, scalability, and business value in ESG data extraction.
5 Commits • 4 Features
Jan 1, 2025January 2025 monthly summary for ScottLogic/InferESG focusing on delivering key architectural improvements, enhanced data collection quality, and improved developer documentation to drive reliability, scalability, and business value in ESG data extraction.
January 2025
December 2024
3 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for ScottLogic/InferESG: Delivered two major features enhancing data integrity and ESG analysis capabilities. Implemented Prompt-driven Query Integrity for Cypher with explicit null-filtering rules and examples added to prompts. Launched Materiality ESG Analysis Suite, including a dedicated Materiality Agent for ESG report analysis and a Materiality Chat Agent leveraging OpenAI for report generation, with enhanced file handling, configuration, and tests. Also fixed datastore prompt to skip null values to improve query reliability. These efforts improved data quality, enabled more reliable ESG analysis, and accelerated report generation.
December 2024
3 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for ScottLogic/InferESG: Delivered two major features enhancing data integrity and ESG analysis capabilities. Implemented Prompt-driven Query Integrity for Cypher with explicit null-filtering rules and examples added to prompts. Launched Materiality ESG Analysis Suite, including a dedicated Materiality Agent for ESG report analysis and a Materiality Chat Agent leveraging OpenAI for report generation, with enhanced file handling, configuration, and tests. Also fixed datastore prompt to skip null values to improve query reliability. These efforts improved data quality, enabled more reliable ESG analysis, and accelerated report generation.
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024 performance summary for ScottLogic/InferESG: Delivered a Dynamic Knowledge Graph integration enabling CSV-driven Cypher and data model generation in Neo4j; completed MIT license adoption to improve compliance and distribution clarity. Highlights include business-ready data modeling automation and governance improvements with low-risk licensing changes.
2 Commits • 1 Features
Nov 1, 2024November 2024 performance summary for ScottLogic/InferESG: Delivered a Dynamic Knowledge Graph integration enabling CSV-driven Cypher and data model generation in Neo4j; completed MIT license adoption to improve compliance and distribution clarity. Highlights include business-ready data modeling automation and governance improvements with low-risk licensing changes.
November 2024
Activity
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Quality Metrics
Correctness88.0%
Maintainability87.0%
Architecture86.0%
Performance79.0%
AI Usage59.0%
Skills & Technologies
Programming Languages
JinjaJinja2MarkdownPythonShellTypeScriptYAML
Technical Skills
API DevelopmentAPI IntegrationAPI designAgent-Based SystemsAgent-based SystemsAgent-based systemsAsynchronous ProgrammingBackend DevelopmentCloud ServicesConfiguration ManagementConfiguration managementCypherData IngestionData ModelingDatabase Querying
Repositories Contributed To
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