hpcc-systems/HPCC-Platform
Nov 2024 – May 2025
6 Months active
Languages Used
C++ECLCXSLT
Technical Skills
API DevelopmentBackend DevelopmentC++C++ DevelopmentCost ManagementData Integrity
Shamser Ahmed
PROFILE
Shamser Ahmed
Shamser Ahmed contributed to the hpcc-systems/HPCC-Platform repository by engineering features and fixes that enhanced cost modeling, performance instrumentation, and observability for distributed data systems. He implemented cache-aware cost calculations and unified cost limit derivation, improving the accuracy of resource planning and operational reporting. Using C++ and ECL, Shamser refactored core backend logic, optimized statistics collection, and strengthened configuration management to ensure reliable cost and performance analytics. His work included robust bug fixes for regression and overflow issues, as well as enhancements to logging and telemetry, demonstrating a deep understanding of system internals and a methodical approach to backend development.
Overall Statistics
Feature vs Bugs
57%Features
Repository Contributions
22Total
Bugs
6
Commits
22
Features
8
Lines of code
2,182
Activity Months6
Your Network
34 people
Work History
May 2025
1 Commits
May 1, 2025May 2025 monthly summary focusing on key accomplishments, with emphasis on business value and technical achievements for hpcc-systems/HPCC-Platform.
1 Commits
May 1, 2025May 2025 monthly summary focusing on key accomplishments, with emphasis on business value and technical achievements for hpcc-systems/HPCC-Platform.
May 2025
April 2025
1 Commits
Apr 1, 2025April 2025: Delivered a critical regression fix for Guillotine cost configuration in HPCC-Platform, consolidating cost limit derivation across component and global configurations and introducing getGuillotineCost to ensure accurate cost limits from available sources. This work reduces the risk of incorrect cost calculations and stabilizes cost-related behavior across deployments. Overall, the month focused on reliability improvements in configuration-driven cost calculations with minimal impact to existing features.
April 2025
1 Commits
Apr 1, 2025April 2025: Delivered a critical regression fix for Guillotine cost configuration in HPCC-Platform, consolidating cost limit derivation across component and global configurations and introducing getGuillotineCost to ensure accurate cost limits from available sources. This work reduces the risk of incorrect cost calculations and stabilizes cost-related behavior across deployments. Overall, the month focused on reliability improvements in configuration-driven cost calculations with minimal impact to existing features.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 highlights for hpcc-systems/HPCC-Platform: Strengthened cost modeling for index reads by incorporating cache statistics, enabling more accurate cost estimation for keyed joins and better resource planning. Fixed a regression introduced by HPCC-33279 affecting offset branches and standardized terminology (DuplicateKeys) with clarified memory statistics comments, improving code quality and maintainability. Overall impact: more reliable performance forecasts, enhanced planning accuracy for customers, and a cleaner codebase. Technologies demonstrated: C++ performance modeling, cache-aware cost calculations, regression debugging, and codebase hygiene.
2 Commits • 1 Features
Feb 1, 2025February 2025 highlights for hpcc-systems/HPCC-Platform: Strengthened cost modeling for index reads by incorporating cache statistics, enabling more accurate cost estimation for keyed joins and better resource planning. Fixed a regression introduced by HPCC-33279 affecting offset branches and standardized terminology (DuplicateKeys) with clarified memory statistics comments, improving code quality and maintainability. Overall impact: more reliable performance forecasts, enhanced planning accuracy for customers, and a cleaner codebase. Technologies demonstrated: C++ performance modeling, cache-aware cost calculations, regression debugging, and codebase hygiene.
February 2025
January 2025
7 Commits • 2 Features
Jan 1, 2025January 2025 delivered measurable improvements in observability, data statistics, and cost accuracy for HPCC-Platform. Key features include index write statistics instrumentation with serialized jhtree and disk I/O stats; unified getStatistic access; and enhanced observability for debugging. In addition, statistics collection optimization for disk reads and super files improved accuracy by batching file attribute updates and ensuring consistent cost/I/O reporting when subfiles change. These work items, combined with multiple bug fixes in statistics mappings, SysInfoLogger iteration, and non-index file read cost calculation, strengthen reliability and performance visibility, enabling more accurate capacity planning and query optimization. Technologies demonstrated include C++ HPCC code changes, JHTree usage, batch update strategies, and robust statistics instrumentation.
January 2025
7 Commits • 2 Features
Jan 1, 2025January 2025 delivered measurable improvements in observability, data statistics, and cost accuracy for HPCC-Platform. Key features include index write statistics instrumentation with serialized jhtree and disk I/O stats; unified getStatistic access; and enhanced observability for debugging. In addition, statistics collection optimization for disk reads and super files improved accuracy by batching file attribute updates and ensuring consistent cost/I/O reporting when subfiles change. These work items, combined with multiple bug fixes in statistics mappings, SysInfoLogger iteration, and non-index file read cost calculation, strengthen reliability and performance visibility, enabling more accurate capacity planning and query optimization. Technologies demonstrated include C++ HPCC code changes, JHTree usage, batch update strategies, and robust statistics instrumentation.
December 2024
5 Commits • 2 Features
Dec 1, 2024December 2024 (HPCC Platform) delivered two high-impact features that strengthen cost visibility, operational efficiency, and observability, while extending support for scalable cost-optimization workflows. Key work focused on cost accuracy, optimizer execution in containerized environments, and reliability/performance improvements for the SysInfoLogger. These changes reduce operational risk, improve cost containment for customers, and lay a foundation for scalable automation and monitoring. Impact highlights: - More accurate cost calculation and reporting with thresholding and hourly rate handling. - Enabled direct cost optimizer execution for containerized deployments, including Thor-based workflows. - Higher reliability and observability through SysInfoLogger improvements with unique IDs and clear differentiation of message sources, plus performance optimizations for stats handling and utilities. Technologies and skills demonstrated include cost modeling and optimization, containerized deployments, Thor integration, C++ performance tuning (move semantics, const correctness), and observability engineering for scalable systems.
5 Commits • 2 Features
Dec 1, 2024December 2024 (HPCC Platform) delivered two high-impact features that strengthen cost visibility, operational efficiency, and observability, while extending support for scalable cost-optimization workflows. Key work focused on cost accuracy, optimizer execution in containerized environments, and reliability/performance improvements for the SysInfoLogger. These changes reduce operational risk, improve cost containment for customers, and lay a foundation for scalable automation and monitoring. Impact highlights: - More accurate cost calculation and reporting with thresholding and hourly rate handling. - Enabled direct cost optimizer execution for containerized deployments, including Thor-based workflows. - Higher reliability and observability through SysInfoLogger improvements with unique IDs and clear differentiation of message sources, plus performance optimizations for stats handling and utilities. Technologies and skills demonstrated include cost modeling and optimization, containerized deployments, Thor integration, C++ performance tuning (move semantics, const correctness), and observability engineering for scalable systems.
December 2024
November 2024
6 Commits • 3 Features
Nov 1, 2024November 2024 (HPCC-Platform): Delivered targeted performance instrumentation, preserved legacy cost data in file I/O cost calculations, and introduced enhanced WorkunitMessages_v2 telemetry. These changes improve performance visibility, cost accuracy, and telemetry richness, enabling data-driven optimization and faster incident diagnosis, while maintaining backward compatibility.
November 2024
6 Commits • 3 Features
Nov 1, 2024November 2024 (HPCC-Platform): Delivered targeted performance instrumentation, preserved legacy cost data in file I/O cost calculations, and introduced enhanced WorkunitMessages_v2 telemetry. These changes improve performance visibility, cost accuracy, and telemetry richness, enabling data-driven optimization and faster incident diagnosis, while maintaining backward compatibility.
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Quality Metrics
Correctness88.6%
Maintainability85.0%
Architecture84.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++ECLXSLT
Technical Skills
API DesignAPI DevelopmentBackend DevelopmentBug FixingC++C++ DevelopmentCode RefactoringConcurrencyConfiguration ManagementContainerizationCore DevelopmentCost AnalysisCost CalculationCost ManagementCost Optimization
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