Vinayak Nair / AEROSPACE

Home / Experience

Engineering record

Experience

Three roles across spacecraft systems engineering, hardware and controls integration, thermal trades, test, and research automation. Each entry states what changed in units someone can check.

01 / Professional

Engineering roles

Jan 2026 to Present

Spacecraft Systems Engineer, TAMU-SPIRIT Capstone

Aegis Aerospace / ISS payload program · College Station, TX

  • Maintained 100% milestone compliance for 4 ISS-bound experiments targeting a Sep 2028 SpaceX Dragon launch, by managing engineering change requests and NASA compliance tracking through SCR, SRR and PDR government design reviews.
  • Reduced thermal design risk for the DASH payload by performing material selection trades and thermal analysis across −120 °C to +120 °C LEO cycling.
  • Advanced the project toward late-2026 hardware manufacturing by coordinating quality documentation across an 8-person engineering team.
Systems EngineeringSCR / SRR / PDR NASA / DCMA complianceThermal analysis Configuration controlRequirements traceability
Aug 2025 to Dec 2025

Controls & Embedded Systems Engineer

BLNC Turtle Robotics · College Station, TX

  • Reduced motor validation errors by standardizing bench-test procedures in LabVIEW and maintaining as-built documentation, so that a test result meant the same thing regardless of who ran it.
  • Achieved full autonomous stabilization of a two-wheeled inverted-pendulum rover: building the hardware from component level and implementing cascaded PID control: an inner attitude loop inside an outer position loop, because the plant is open-loop unstable and the two loops have to be separated in bandwidth.
  • Established repeatable hardware-in-the-loop test practice for motor characterization, converting ad-hoc bench measurements into procedures with recorded conditions and expected results.
LabVIEWCascaded PID HIL testingMotor characterization Embedded hardwareAs-built documentation
Dec 2023 to Dec 2024

Undergraduate Research Assistant

Texas A&M ACE Lab, Dr. Sasangohar · College Station, TX

  • Cut manual analysis time by 40% and accelerated report delivery by 2 days by building a Python pipeline processing 5,000+ data points per run.
  • Replaced a hand-run analysis workflow with a reproducible one, so results could be regenerated from raw data rather than reconstructed from someone's spreadsheet.
PythonData pipelines AutomationResearch methods

02 / Education

Education

UndergraduateMAY 2027

B.S. Aerospace Engineering

Texas A&M University, College Station, TX

ExpectedMay 2027
FocusMechanical design and structures; guidance, navigation & control; flight software; systems engineering
GraduateIN PROGRESS

M.S. Aerospace Engineering, Fast Track

Texas A&M University, combined BS/MS program

StatusIn progress
FocusYet to be decided

03 / Method

How I work

The habits underneath every entry above.

01 / Evidence

I prefer work that leaves artefacts: tests, logs, plots, traces and procedures someone else can re-run. A claim without an artefact is an opinion.

02 / Interfaces

Most failures live at interfaces: joints and load paths, tolerances, thermal boundaries, packet formats, timing, frame conventions and fault handling. That is where I spend my attention.

03 / Honesty

Blocked work is stated as blocked, design targets are labelled as targets, and archived projects keep their closeouts. Hiding the gaps costs more than it saves.

NextOPEN

Available for aerospace engineering opportunities and May 2027 early-career roles.