Avionics-Propulsion-Landers-GT/MonopropUAV
Mar 2026 – May 2026
3 Months active
Languages Used
RustPythonJSON
Technical Skills
CSV HandlingCSV handlingData SerializationData StructuresFile I/ORust
Taran Govindu
PROFILE
Taran Govindu
Contributed to the Avionics-Propulsion-Landers-GT/MonopropUAV repository by developing and refining simulation features for rocket dynamics and propulsion over a three-month period. Work included implementing wind modeling with altitude-based profiles and Gauss-Markov gusts, integrating aerodynamic data structures with CSV-driven interpolation, and enhancing simulation usability through buffered rerun modes and independent CSV logging. Improved angle of attack calculations and streamlined the codebase by removing obsolete tools and dependencies. Maintained alignment with the main branch for sensor integration and optimized CI/CD workflows using Bash automation. Utilized Rust and Python for simulation development, data modeling, configuration management, and algorithm design.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
19Total
Bugs
1
Commits
19
Features
6
Lines of code
1,509,660
Activity Months3
Your Network
23 peopleShared Repositories
23
Work History
May 2026
2 Commits • 1 Features
May 1, 2026May 2026 monthly summary for Avionics-Propulsion-Landers-GT/MonopropUAV. Delivered two key updates that improve reliability, collaboration, and time-to-market: 1) Pressure Transducers Feature Integration aligned with the latest main branch to prevent conflicts and keep development up-to-date (commit e2f11444d03763c6320905dec118aeb88e6f0178). 2) Git workflow hardening: added Bash command permissions to enable git fetch operations and prevent blocked workflows (commit 445c0192a280329ffec37eabc29010cdbd16f600). Impact: reduced downtime due to conflicts, smoother CI/CD, and faster iteration on sensor integration. Skills demonstrated: Git merge strategies, branch hygiene, Bash automation, configuration management.
2 Commits • 1 Features
May 1, 2026May 2026 monthly summary for Avionics-Propulsion-Landers-GT/MonopropUAV. Delivered two key updates that improve reliability, collaboration, and time-to-market: 1) Pressure Transducers Feature Integration aligned with the latest main branch to prevent conflicts and keep development up-to-date (commit e2f11444d03763c6320905dec118aeb88e6f0178). 2) Git workflow hardening: added Bash command permissions to enable git fetch operations and prevent blocked workflows (commit 445c0192a280329ffec37eabc29010cdbd16f600). Impact: reduced downtime due to conflicts, smoother CI/CD, and faster iteration on sensor integration. Skills demonstrated: Git merge strategies, branch hygiene, Bash automation, configuration management.
May 2026
April 2026
2 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for Avionics-Propulsion-Landers-GT/MonopropUAV focused on delivering higher-fidelity propulsion simulations and streamlining the data-analysis workflow. Two features were completed in the MonopropUAV repo, with no major bug fixes reported for this period. The work emphasizes business value through improved simulation accuracy, reduced maintenance overhead, and faster iteration cycles.
April 2026
2 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for Avionics-Propulsion-Landers-GT/MonopropUAV focused on delivering higher-fidelity propulsion simulations and streamlining the data-analysis workflow. Two features were completed in the MonopropUAV repo, with no major bug fixes reported for this period. The work emphasizes business value through improved simulation accuracy, reduced maintenance overhead, and faster iteration cycles.
March 2026
15 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary for MonopropUAV: Delivered substantial improvements to simulation fidelity, data modeling, and usability. Key features delivered include wind modeling integrated into rocket dynamics with altitude-based profiles and Gauss-Markov gusts, plus comprehensive code refactors and a dedicated wind model helper. Introduced AeroTable-based aero data modeling with CSV loading, bilinear interpolation (with clamping), dynamic drag calculations driven by ISA density, and seamless integration into the rocket model (including nose offset and a get_nose_to_com_z helper). Also enabled improved simulation usability with a buffered rerun mode and independent CSV logging for offline analysis.
15 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary for MonopropUAV: Delivered substantial improvements to simulation fidelity, data modeling, and usability. Key features delivered include wind modeling integrated into rocket dynamics with altitude-based profiles and Gauss-Markov gusts, plus comprehensive code refactors and a dedicated wind model helper. Introduced AeroTable-based aero data modeling with CSV loading, bilinear interpolation (with clamping), dynamic drag calculations driven by ISA density, and seamless integration into the rocket model (including nose offset and a get_nose_to_com_z helper). Also enabled improved simulation usability with a buffered rerun mode and independent CSV logging for offline analysis.
March 2026
Activity
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Quality Metrics
Correctness95.8%
Maintainability89.6%
Architecture91.6%
Performance88.4%
AI Usage21.0%
Skills & Technologies
Programming Languages
JSONPythonRust
Technical Skills
CSV HandlingCSV handlingControl SystemsData AnalysisData SerializationData StructuresFile I/OPythonPython scriptingRustRust programmingSimulationaerodynamicsaerospace engineeringalgorithm design
Repositories Contributed To
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