
Over a two-month period, contributed to the quintel/etsource repository by delivering thirteen features and resolving two bugs, focusing on emissions modeling, data architecture, and usability improvements. Enhanced client workflows by doubling the ammonia import slider maximum and refactored complex Hydrogen Mekko queries for clarity and maintainability. Extended emission grouping across Industry and Energy sectors, introduced granular crude oil emission modeling, and improved LULUCF node structure for more accurate policy analysis. Leveraged GQL, GraphQL, and YAML to optimize backend data management and query performance, ensuring robust, auditable emissions accounting and streamlined data exports for downstream analytics and sustainability assessments.
May 2026 monthly summary for quintel/etsource highlighting key features delivered, bugs fixed, and the business value of the work. This period delivered substantial improvements in emission accounting, granular emission modeling for Industry/Energy/LULUCF, updates to data export, and molecule/CCS enhancements, contributing to more accurate policy analysis and robust downstream analytics.
May 2026 monthly summary for quintel/etsource highlighting key features delivered, bugs fixed, and the business value of the work. This period delivered substantial improvements in emission accounting, granular emission modeling for Industry/Energy/LULUCF, updates to data export, and molecule/CCS enhancements, contributing to more accurate policy analysis and robust downstream analytics.
April 2026: Delivery focused on client-driven usability and data-architecture improvements in quintel/etsource. Key features delivered: Ammonia Import Slider maximum value doubled to better accommodate client workflows; Hydrogen Mekko query refactor with new industry transformation hydrogen demand queries, improving clarity and performance. No major bugs fixed this month. Overall impact: enhanced user control, streamlined data visuals, and a more maintainable query architecture, enabling quicker iterations and better scalability. Technologies/skills demonstrated: frontend feature tuning, data query optimization, and refactoring of complex mekko visualization with an emphasis on maintainability and clear naming conventions.
April 2026: Delivery focused on client-driven usability and data-architecture improvements in quintel/etsource. Key features delivered: Ammonia Import Slider maximum value doubled to better accommodate client workflows; Hydrogen Mekko query refactor with new industry transformation hydrogen demand queries, improving clarity and performance. No major bugs fixed this month. Overall impact: enhanced user control, streamlined data visuals, and a more maintainable query architecture, enabling quicker iterations and better scalability. Technologies/skills demonstrated: frontend feature tuning, data query optimization, and refactoring of complex mekko visualization with an emphasis on maintainability and clear naming conventions.

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