Vinayak Nair/ AEROSPACE

Home / Skills

Demonstrated capability

Technical skills, tied to work.

Six focused areas replace the previous tool list. Each group names the methods I have used and links to the clearest supporting work.

Capability map

What I can contribute

Tools are grouped by the engineering decisions they support.

Guidance, navigation and control

Estimation and closed-loop analysis

  • Kalman filtering, IMM target estimation and covariance reasoning
  • Dropout, reacquisition and estimator fault behavior
  • Closed-loop simulation, PID limits and seeded uncertainty campaigns
PythonC++17EigenMonte Carlo

Evidence: GHOST-X and fixed-wing SIL

Flight software

Deterministic behavior and verification

  • State machines, command/telemetry protocols and health monitoring
  • Bounded FDIR, fault injection and deterministic scenarios
  • CTest, sanitizers, static analysis and requirement gates
C++17CMakeCTestLinux

Evidence: ASTRA-OS assurance record

Embedded and robotics

Sensor-to-actuator integration

  • Raspberry Pi and Linux execution on resource-limited hardware
  • Camera measurement pipelines and ROS 2 integration
  • Bench procedures, characterization and repeatable evidence capture
Raspberry PiROS 2LabVIEWGit

Evidence: robotics and hardware experience

Structures

Substantiation and model interpretation

  • Classical stress, margins, bearing, lug and fastener checks
  • FE convergence, contact, modal and buckling interpretation
  • Allowables, fatigue, damage tolerance and manufacturing effects
FEAStress analysisFatigue / DTCorrelation

Evidence: AeroFrame-DT

Systems engineering

Traceability and technical decisions

  • Requirements decomposition and verification planning
  • Engineering changes, configuration records and review support
  • Thermal and material trades for a student ISS payload program
RequirementsTrade studiesChange controlReviews

Evidence: TAMU-SPIRIT role and scope

Scientific computing

Reproducible engineering software

  • Analysis pipelines, plotting and test-data reduction
  • Cross-language equivalence checks and regression baselines
  • Repository-based documentation and automated validation
PythonMATLABBashGitHub

Evidence: the live public repositories below

These labels describe demonstrated project use. They do not imply flight certification authority, hard-real-time qualification or production aircraft sign-off.

Live engineering record

Public GitHub repositories

This section requests current public repository metadata directly from GitHub. If the API is unavailable, the saved links remain usable.

@XpiredRubyPublic repository links6 shownView profile
ghost-vins-eskf PublicOcclusion-aware target estimation with IMM comparison, replay evidence and Raspberry Pi execution.C++GNC / estimation AstraSim-FSW PublicFlight-software assurance baseline with command, telemetry, mode and fault handling.C++Flight software aeroframe-dt PublicSynthetic aircraft attachment structural substantiation and digital thread.PythonStructures f16-flight-sim PublicRepresentative fixed-wing flight-controls simulation and uncertainty campaign.PythonControls PACT-Controls PublicPublic controls-development repository.Engineering software vin-portfolio PublicSource for this aerospace engineering portfolio.HTMLPortfolio
ContinueEVIDENCE

See the skills in context.

Project pages include methods, plots, test results and evidence limits.

Browse projectsContact