ERGO-Code/HiGHS
Nov 2024 – Feb 2026
16 Months active
Languages Used
CC++CMakeJuliaMarkdownPythonPerlBazel
Technical Skills
API DesignAPI DevelopmentAlgorithm DevelopmentAlgorithm ImplementationAlgorithm OptimizationBindings
JAJHall
PROFILE
Jajhall
James Hall developed core optimization and solver infrastructure for the ERGO-Code/HiGHS repository, focusing on robust mixed-integer and linear programming workflows. Over 16 months, he engineered features such as analytic center flows, IIS extraction, and multi-threaded MIP race concurrency, while refactoring APIs for clarity and maintainability. Using C++ and Python, James integrated advanced logging, resource management, and user scaling, ensuring reliable performance and traceability. His work emphasized test-driven development, comprehensive documentation, and edge-case handling, resulting in a maintainable codebase that accelerates model solving and debugging. The technical depth addressed both algorithmic correctness and production-grade reliability for solver users.
Overall Statistics
Feature vs Bugs
65%Features
Repository Contributions
786Total
Bugs
145
Commits
786
Features
270
Lines of code
1,169,666
Activity Months16
Your Network
59 people
Work History
February 2026
2 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for ERGO-Code/HiGHS: Delivered focused interface debugging support and updated documentation to reflect recent enhancements. The changes enable development-time diagnostics without incurring production performance costs and improve onboarding and maintainability through up-to-date documentation.
2 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for ERGO-Code/HiGHS: Delivered focused interface debugging support and updated documentation to reflect recent enhancements. The changes enable development-time diagnostics without incurring production performance costs and improve onboarding and maintainability through up-to-date documentation.
February 2026
January 2026
44 Commits • 21 Features
Jan 1, 2026January 2026 HiGHS monthly summary: Delivered key features and reliability improvements across the codebase, with architecture refactors, API surface enhancements, and tooling/build quality work that enable faster iterations and clearer integration points for developers and users.
January 2026
44 Commits • 21 Features
Jan 1, 2026January 2026 HiGHS monthly summary: Delivered key features and reliability improvements across the codebase, with architecture refactors, API surface enhancements, and tooling/build quality work that enable faster iterations and clearer integration points for developers and users.
December 2025
33 Commits • 10 Features
Dec 1, 2025December 2025 monthly summary for ERGO-Code/HiGHS. Focused on delivering robust API enhancements, reliability improvements, and test/release hygiene that collectively increase model usability, debugging speed, and release confidence. The month combined targeted feature work with critical bug fixes, complemented by instrumentation, testing, and code cleanup to strengthen overall platform quality and maintainability.
33 Commits • 10 Features
Dec 1, 2025December 2025 monthly summary for ERGO-Code/HiGHS. Focused on delivering robust API enhancements, reliability improvements, and test/release hygiene that collectively increase model usability, debugging speed, and release confidence. The month combined targeted feature work with critical bug fixes, complemented by instrumentation, testing, and code cleanup to strengthen overall platform quality and maintainability.
December 2025
November 2025
48 Commits • 16 Features
Nov 1, 2025November 2025 HiGHS delivered focused feature updates, reliability improvements, and broader test coverage that strengthen accuracy, performance, and study readiness. Key outcomes include IPX timing enhancements for HiPO, a new IPX read() interface, and numeric precision improvements; foundational IIS refactors and API changes; strategic enhancements for IS/ IIS decision handling; targeted IIS bug fixes with broader unit-test coverage; and a milestone close with updated documentation to support study deployment.
November 2025
48 Commits • 16 Features
Nov 1, 2025November 2025 HiGHS delivered focused feature updates, reliability improvements, and broader test coverage that strengthen accuracy, performance, and study readiness. Key outcomes include IPX timing enhancements for HiPO, a new IPX read() interface, and numeric precision improvements; foundational IIS refactors and API changes; strategic enhancements for IS/ IIS decision handling; targeted IIS bug fixes with broader unit-test coverage; and a milestone close with updated documentation to support study deployment.
October 2025
61 Commits • 26 Features
Oct 1, 2025October 2025 HiGHS monthly summary: Key features delivered: - Logging resource management: Added Highs::closeLogFile() and wired it to run on program exit and in the destructor to ensure the log file closes cleanly, reducing resource leaks and enabling safer restarts. - Exposed and tested getFixedLp API: Implemented Highs::getFixedLp(HighsLp&), expanded unit tests, and extended highspy/test coverage (including TestCAPI.c and test_highspy.py). - FeasibleWrtBounds: Implemented the feasibleWrtBounds functionality and refactored for clarity and maintainability. - IPX integration and default selection: Integrated IPX in key solver paths, including HighsMipSolverData::startAnalyticCenterComputation, and default IPX usage when switching to IPM after iteration limits. - HighsSpy/C API exposure: Updated highspy features to expose HighsModel for getIis and added C API extensions: getObjectiveBoundScaling and getDualObjectiveValue. - Additional quality/compatibility work: code formatting improvements, documentation updates, and large-bounds test coverage to validate solver behavior at scale. Major bugs fixed: - Indexing and changeColsBounds behavior: Fixed set_to_ix < ix_dim failure and clarified how changeColsBounds clears solution and preserves feasibility; added related unit tests. - Return status handling for userScaleStatus: Ensured return_status is assigned across all branches. - Revert and realign user scaling options: Reverted inconsistent handling of user_cost_scale and user_bound_scale to align with new naming and docs. - Fixes in highs_bindings.cpp: Corrected binding-related issues to improve stability. - Subsolver timing behavior: Restored reportSubSolverCallTime() behavior conditioned on log dev level. Overall impact and accomplishments: - Significantly improved reliability and resource management with robust log handling, expanded API coverage, and stronger test suites across C API, highspy bindings, and Python test scaffolding. These updates reduce risk in long-running experiments, enable deeper instrumented analysis, and improve user-facing APIs for scaling and objective bound reporting. This directly supports faster, more predictable model solving and better maintenance of the HiGHS codebase. Technologies/skills demonstrated: - C++ resource management (RAII for logging), unit/integration testing (C API, highspy, Python bindings), and test scaffolding. - Solver scaling and optimization techniques, including user scaling, Hessian handling, and ill-scaled-model testing. - API design and binding stability (highspy, highs_bindings.cpp) and cross-repo documentation updates. - IPX-based solver pathways and data structures, with attention to performance and correctness.
61 Commits • 26 Features
Oct 1, 2025October 2025 HiGHS monthly summary: Key features delivered: - Logging resource management: Added Highs::closeLogFile() and wired it to run on program exit and in the destructor to ensure the log file closes cleanly, reducing resource leaks and enabling safer restarts. - Exposed and tested getFixedLp API: Implemented Highs::getFixedLp(HighsLp&), expanded unit tests, and extended highspy/test coverage (including TestCAPI.c and test_highspy.py). - FeasibleWrtBounds: Implemented the feasibleWrtBounds functionality and refactored for clarity and maintainability. - IPX integration and default selection: Integrated IPX in key solver paths, including HighsMipSolverData::startAnalyticCenterComputation, and default IPX usage when switching to IPM after iteration limits. - HighsSpy/C API exposure: Updated highspy features to expose HighsModel for getIis and added C API extensions: getObjectiveBoundScaling and getDualObjectiveValue. - Additional quality/compatibility work: code formatting improvements, documentation updates, and large-bounds test coverage to validate solver behavior at scale. Major bugs fixed: - Indexing and changeColsBounds behavior: Fixed set_to_ix < ix_dim failure and clarified how changeColsBounds clears solution and preserves feasibility; added related unit tests. - Return status handling for userScaleStatus: Ensured return_status is assigned across all branches. - Revert and realign user scaling options: Reverted inconsistent handling of user_cost_scale and user_bound_scale to align with new naming and docs. - Fixes in highs_bindings.cpp: Corrected binding-related issues to improve stability. - Subsolver timing behavior: Restored reportSubSolverCallTime() behavior conditioned on log dev level. Overall impact and accomplishments: - Significantly improved reliability and resource management with robust log handling, expanded API coverage, and stronger test suites across C API, highspy bindings, and Python test scaffolding. These updates reduce risk in long-running experiments, enable deeper instrumented analysis, and improve user-facing APIs for scaling and objective bound reporting. This directly supports faster, more predictable model solving and better maintenance of the HiGHS codebase. Technologies/skills demonstrated: - C++ resource management (RAII for logging), unit/integration testing (C API, highspy, Python bindings), and test scaffolding. - Solver scaling and optimization techniques, including user scaling, Hessian handling, and ill-scaled-model testing. - API design and binding stability (highspy, highs_bindings.cpp) and cross-repo documentation updates. - IPX-based solver pathways and data structures, with attention to performance and correctness.
October 2025
September 2025
35 Commits • 13 Features
Sep 1, 2025September 2025 HiGHS monthly summary for ERGO-Code/HiGHS. Delivered reliable features, critical bug fixes and improvements that enhance solver stability, traceability, and scalability. Key work involved IPX/HiPO logging enhancements, tighter integration of user scaling with solver runs, and data-structure improvements to handle edge cases. Refactors and build improvements increased maintainability and reduced risk in releases. Business value delivered includes more robust solves, improved debugging/monitoring, and streamlined scaling workflows for end users.
September 2025
35 Commits • 13 Features
Sep 1, 2025September 2025 HiGHS monthly summary for ERGO-Code/HiGHS. Delivered reliable features, critical bug fixes and improvements that enhance solver stability, traceability, and scalability. Key work involved IPX/HiPO logging enhancements, tighter integration of user scaling with solver runs, and data-structure improvements to handle edge cases. Refactors and build improvements increased maintainability and reduced risk in releases. Business value delivered includes more robust solves, improved debugging/monitoring, and streamlined scaling workflows for end users.
August 2025
57 Commits • 11 Features
Aug 1, 2025In August 2025, ERGO-Code/HiGHS delivered a focused set of features and reliability improvements that accelerate MIP/IPM solving, strengthen analytics accuracy, and improve maintainability. Key outcomes include HiPO‑enabled analytic centre flow with configurable mip_lp_solver and mip_ipm_solver, performance and separation clocks for precise timing, IPX/AC integration with root‑IPM support, presolve‑before‑AC solves, and robust testing with build‑gate safeguards. These changes deliver faster, more robust analytic centre calculations, reduced risk in production deployments, and improved observability for performance and diagnostics.
57 Commits • 11 Features
Aug 1, 2025In August 2025, ERGO-Code/HiGHS delivered a focused set of features and reliability improvements that accelerate MIP/IPM solving, strengthen analytics accuracy, and improve maintainability. Key outcomes include HiPO‑enabled analytic centre flow with configurable mip_lp_solver and mip_ipm_solver, performance and separation clocks for precise timing, IPX/AC integration with root‑IPM support, presolve‑before‑AC solves, and robust testing with build‑gate safeguards. These changes deliver faster, more robust analytic centre calculations, reduced risk in production deployments, and improved observability for performance and diagnostics.
August 2025
July 2025
102 Commits • 32 Features
Jul 1, 2025July 2025 highlights sustained progress across IIS capabilities, MIP race concurrency, and data-model improvements for HiGHS. The work emphasizes reliability, performance, and API/UX improvements that reduce manual intervention and accelerate problem solving for users.
July 2025
102 Commits • 32 Features
Jul 1, 2025July 2025 highlights sustained progress across IIS capabilities, MIP race concurrency, and data-model improvements for HiGHS. The work emphasizes reliability, performance, and API/UX improvements that reduce manual intervention and accelerate problem solving for users.
June 2025
33 Commits • 10 Features
Jun 1, 2025June 2025 (ERGO-Code/HiGHS) monthly summary focusing on delivery, quality, and impact across the HiGHS repository. Key activities spanned feature delivery, robustness fixes, and documentation improvements, with a strong emphasis on maintainability and business value for solver users and downstream systems.
33 Commits • 10 Features
Jun 1, 2025June 2025 (ERGO-Code/HiGHS) monthly summary focusing on delivery, quality, and impact across the HiGHS repository. Key activities spanned feature delivery, robustness fixes, and documentation improvements, with a strong emphasis on maintainability and business value for solver users and downstream systems.
June 2025
May 2025
33 Commits • 13 Features
May 1, 2025May 2025 (ERGO-Code/HiGHS) performance summary: strengthened reliability and maintainability of the solver stack while delivering clear documentation and improved feasibility logic. Focus areas included tolerance handling, presolve/probing controls, and comprehensive status checks, enabling more predictable results in complex models.
May 2025
33 Commits • 13 Features
May 1, 2025May 2025 (ERGO-Code/HiGHS) performance summary: strengthened reliability and maintainability of the solver stack while delivering clear documentation and improved feasibility logic. Focus areas included tolerance handling, presolve/probing controls, and comprehensive status checks, enabling more predictable results in complex models.
April 2025
110 Commits • 34 Features
Apr 1, 2025April 2025 HiGHS monthly wrap-up: Focused on delivering business value through robust KKT/residual reporting, compatibility improvements, and stabilized development/testing workflows. Key outcomes include enhanced KKT failure handling via HighsInfo, Glpsol compatibility refinements, a consolidated IO pathway, new file handling and testing infrastructure, and CI/testing improvements that reduce risk in production.
110 Commits • 34 Features
Apr 1, 2025April 2025 HiGHS monthly wrap-up: Focused on delivering business value through robust KKT/residual reporting, compatibility improvements, and stabilized development/testing workflows. Key outcomes include enhanced KKT failure handling via HighsInfo, Glpsol compatibility refinements, a consolidated IO pathway, new file handling and testing infrastructure, and CI/testing improvements that reduce risk in production.
April 2025
March 2025
44 Commits • 21 Features
Mar 1, 2025March 2025 HiGHS development summary: Delivered targeted features to improve interpretation of optimality, MIP root-node diagnostics, and API stability; introduced performance instrumentation and robust ray-record structures. Fixed critical correctness issues and enhanced test reliability, positioning HiGHS for stronger reliability and business value.
March 2025
44 Commits • 21 Features
Mar 1, 2025March 2025 HiGHS development summary: Delivered targeted features to improve interpretation of optimality, MIP root-node diagnostics, and API stability; introduced performance instrumentation and robust ray-record structures. Fixed critical correctness issues and enhanced test reliability, positioning HiGHS for stronger reliability and business value.
February 2025
40 Commits • 18 Features
Feb 1, 2025February 2025 monthly summary for ERGO-Code/HiGHS: Delivered practical features, resolved correctness issues, and advanced solver capabilities, resulting in improved build reproducibility, easier integration for users, and stronger code quality. This month focused on documentation reliability, MIP workflow extensibility, and code health to accelerate development and reduce maintenance overhead.
40 Commits • 18 Features
Feb 1, 2025February 2025 monthly summary for ERGO-Code/HiGHS: Delivered practical features, resolved correctness issues, and advanced solver capabilities, resulting in improved build reproducibility, easier integration for users, and stronger code quality. This month focused on documentation reliability, MIP workflow extensibility, and code health to accelerate development and reduce maintenance overhead.
February 2025
January 2025
71 Commits • 22 Features
Jan 1, 2025January 2025 (ERGO-Code/HiGHS) monthly summary: Delivered substantial enhancements to debugging and LP handling, with targeted fixes to improve solver reliability and maintainability. The work focused on expanding debugging capabilities, end-to-end LP processing, and robust presolve/postsolve workflows, enabling faster debugging and more trustworthy results for customers. Key features delivered - HiGHSSpy API: Added accessors for basis, reduced rows/columns, and rays, including getBasicVariables, getBasisSolve/getBasisTransposeSolve (with sparse variants), getBasisInverseCol/Row (with sparse variants), getReducedRow/getReducedColumn (with sparse variants), and ray retrieval methods (dual/primal rays and directions). - IPX LP offset integration: Propagated HighsLp::offset_ into IPX::Model::offset_; IPX now uses the LP offset end-to-end. - LP data vector extraction and refactor: Introduced generic code to get vectors from LPs and migrated getCols/getRows interfaces to use getSubVectors/SubVectorsTranspose; updated unit tests. - Documentation and formatting updates: Updated FEATURES.md and related comments; formatting cleanup across docs and code. - Model anonymization support and housekeeping: Added Highs::clearModelNames() for anonymizing proprietary models when sharing for debugging; various timer/formatting cleanups to improve readability. Major bugs fixed - Presolve/postsolve workflow improvements: Implemented basis-aware presolve with immediate postsolve when presolved LP status is unknown; ensured cleanup of reduced LP structures. - Delete interface safety and basis invalidation: Bail out of deleteColsInterface/deleteRowsInterface when nothing is deleted; fixed basis invalidation during delete operations. - Node search and dive analysis timing: Fixed analysis timing bug to improve correctness of metrics. - Unit test hygiene: Silenced problematic MI-bound test and removed temporary files; ensured all unit tests pass. Overall impact and accomplishments - Substantial improvements in debugging capabilities, end-to-end offset handling, and solver reliability. Expanded test coverage with clean, maintainable interfaces and documentation, facilitating faster onboarding and reducing maintenance overhead. Technologies/skills demonstrated - Advanced C++ API design and refactoring (HiGHSSpy, C API); sparse vs dense storage handling; cross-component integration (IPX, HiGHSSpy); strong unit-test discipline and documentation practices.
January 2025
71 Commits • 22 Features
Jan 1, 2025January 2025 (ERGO-Code/HiGHS) monthly summary: Delivered substantial enhancements to debugging and LP handling, with targeted fixes to improve solver reliability and maintainability. The work focused on expanding debugging capabilities, end-to-end LP processing, and robust presolve/postsolve workflows, enabling faster debugging and more trustworthy results for customers. Key features delivered - HiGHSSpy API: Added accessors for basis, reduced rows/columns, and rays, including getBasicVariables, getBasisSolve/getBasisTransposeSolve (with sparse variants), getBasisInverseCol/Row (with sparse variants), getReducedRow/getReducedColumn (with sparse variants), and ray retrieval methods (dual/primal rays and directions). - IPX LP offset integration: Propagated HighsLp::offset_ into IPX::Model::offset_; IPX now uses the LP offset end-to-end. - LP data vector extraction and refactor: Introduced generic code to get vectors from LPs and migrated getCols/getRows interfaces to use getSubVectors/SubVectorsTranspose; updated unit tests. - Documentation and formatting updates: Updated FEATURES.md and related comments; formatting cleanup across docs and code. - Model anonymization support and housekeeping: Added Highs::clearModelNames() for anonymizing proprietary models when sharing for debugging; various timer/formatting cleanups to improve readability. Major bugs fixed - Presolve/postsolve workflow improvements: Implemented basis-aware presolve with immediate postsolve when presolved LP status is unknown; ensured cleanup of reduced LP structures. - Delete interface safety and basis invalidation: Bail out of deleteColsInterface/deleteRowsInterface when nothing is deleted; fixed basis invalidation during delete operations. - Node search and dive analysis timing: Fixed analysis timing bug to improve correctness of metrics. - Unit test hygiene: Silenced problematic MI-bound test and removed temporary files; ensured all unit tests pass. Overall impact and accomplishments - Substantial improvements in debugging capabilities, end-to-end offset handling, and solver reliability. Expanded test coverage with clean, maintainable interfaces and documentation, facilitating faster onboarding and reducing maintenance overhead. Technologies/skills demonstrated - Advanced C++ API design and refactoring (HiGHSSpy, C API); sparse vs dense storage handling; cross-component integration (IPX, HiGHSSpy); strong unit-test discipline and documentation practices.
December 2024
21 Commits • 5 Features
Dec 1, 2024December 2024 – ERGO-Code/HiGHS monthly summary: Key features delivered: - Feasibility Jump enhancements with MIP-unbounded testing and logging: added logging around FJ, option mip_allow_feasibility_jump to disable FJ in MIP-unbounded tests, expanded FJ diagnostics, and adjusted verbosity controls for FJ. - HighsMipSolverData feasibilityJump API change: feasibilityJump() now returns HighsModelStatus for precise status reporting. - Inward integer rounding of infeasible bounds: added inward rounding in Highs::infeasibleBoundsOk, updated tests and related solver state updates; ensured correct rounding behavior during relaxations and after rounding, with corresponding updates to column bounds. - Enhanced FJ logging and visibility: added a logging method to fj.hh and improved FJ logging including kMinRelativeObjectiveImprovement thresholds. - Conditional MIP-Timing logging: silenced MIP-Timing output unless mipsolver.analysis_.analyse_mip_time is true; formatted for readability. Major bugs fixed: - Overflow-safe FJ status counters: totalEffort and related counters migrated to int_t to prevent overflow. - Trivial heuristics bug in HighsMipSolverData: fixed an issue in trivialHeuristics(). - Reverted to sensible ctest constants: restored sensible kMaxTotalEffort and kMaxEffortSinceLastImprovement. - Correct calculation of num_domain_fixed in HighsMipSolverData::runSetup: fixed the domain-fixed accounting. - Initialize nNonzeros variable: initialized to avoid uninitialized usage. - Silenced bin/unit_tests: stabilized test output and behavior. Overall impact and accomplishments: The December work substantially increases solver reliability and debuggability in MIP workflows. Enhanced FJ diagnostics and configurable logging improve visibility into infeasibility pathways, while API changes provide precise status information to higher-level components. Numerical robustness improvements (inward rounding and overflow protection) reduce edge-case failures, and test stabilization reduces CI noise, accelerating development velocity and confidence in release candidates. Technologies/skills demonstrated: - C++ solver development with a focus on numerical robustness and performance - Advanced logging, diagnostics, and verbosity control - API design and contract evolution (returning HighsModelStatus) - Test-driven development, regression testing, and test stabilization - Clear commit messaging and version-control hygiene
21 Commits • 5 Features
Dec 1, 2024December 2024 – ERGO-Code/HiGHS monthly summary: Key features delivered: - Feasibility Jump enhancements with MIP-unbounded testing and logging: added logging around FJ, option mip_allow_feasibility_jump to disable FJ in MIP-unbounded tests, expanded FJ diagnostics, and adjusted verbosity controls for FJ. - HighsMipSolverData feasibilityJump API change: feasibilityJump() now returns HighsModelStatus for precise status reporting. - Inward integer rounding of infeasible bounds: added inward rounding in Highs::infeasibleBoundsOk, updated tests and related solver state updates; ensured correct rounding behavior during relaxations and after rounding, with corresponding updates to column bounds. - Enhanced FJ logging and visibility: added a logging method to fj.hh and improved FJ logging including kMinRelativeObjectiveImprovement thresholds. - Conditional MIP-Timing logging: silenced MIP-Timing output unless mipsolver.analysis_.analyse_mip_time is true; formatted for readability. Major bugs fixed: - Overflow-safe FJ status counters: totalEffort and related counters migrated to int_t to prevent overflow. - Trivial heuristics bug in HighsMipSolverData: fixed an issue in trivialHeuristics(). - Reverted to sensible ctest constants: restored sensible kMaxTotalEffort and kMaxEffortSinceLastImprovement. - Correct calculation of num_domain_fixed in HighsMipSolverData::runSetup: fixed the domain-fixed accounting. - Initialize nNonzeros variable: initialized to avoid uninitialized usage. - Silenced bin/unit_tests: stabilized test output and behavior. Overall impact and accomplishments: The December work substantially increases solver reliability and debuggability in MIP workflows. Enhanced FJ diagnostics and configurable logging improve visibility into infeasibility pathways, while API changes provide precise status information to higher-level components. Numerical robustness improvements (inward rounding and overflow protection) reduce edge-case failures, and test stabilization reduces CI noise, accelerating development velocity and confidence in release candidates. Technologies/skills demonstrated: - C++ solver development with a focus on numerical robustness and performance - Advanced logging, diagnostics, and verbosity control - API design and contract evolution (returning HighsModelStatus) - Test-driven development, regression testing, and test stabilization - Clear commit messaging and version-control hygiene
December 2024
November 2024
52 Commits • 16 Features
Nov 1, 2024November 2024 HiGHS development focused on delivering MIP capabilities, extending multi-objective optimization, and boosting reliability through targeted bug fixes, broader test coverage, and API/documentation improvements. Key features were integrated and stabilized, and critical bugs fixed to improve solver correctness and consistency across platforms. The work emphasizes business value through faster, more robust optimization workflows and clearer developer interfaces.
November 2024
52 Commits • 16 Features
Nov 1, 2024November 2024 HiGHS development focused on delivering MIP capabilities, extending multi-objective optimization, and boosting reliability through targeted bug fixes, broader test coverage, and API/documentation improvements. Key features were integrated and stabilized, and critical bugs fixed to improve solver correctness and consistency across platforms. The work emphasizes business value through faster, more robust optimization workflows and clearer developer interfaces.
Activity
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Quality Metrics
Correctness88.6%
Maintainability87.0%
Architecture84.0%
Performance79.2%
AI Usage20.2%
Skills & Technologies
Programming Languages
BashBazelCC#C++CMakeFortranJuliaMPSMarkdown
Technical Skills
API DesignAPI DevelopmentAPI IntegrationAPI TestingAPI designAPI developmentAlgorithm AnalysisAlgorithm DesignAlgorithm DevelopmentAlgorithm ImplementationAlgorithm OptimizationAlgorithm RefactoringAlgorithm TestingAlgorithm designBazel
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