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  • New Zealand
  • 09:41 (UTC +12:00)

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Achievement: Pull SharkAchievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pull SharkAchievement: YOLOAchievement: Quickdraw

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@CelestiAI-Org

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aayushpx/README.md

Aayush Prakash

Embedded Systems · Aerospace Software

CS student in New Zealand. I build things to learn - currently a flight dynamics testbed in C++ and Python that I'm using to explore aerospace software engineering. Also compete in space hackathons when I get the chance.

🔭 What I'm Working On

Project Aphelion
A hardware-in-the-loop flight dynamics testbed. The ESP32 acts as a flight computer streaming real sensor data; Python handles trajectory propagation, state estimation, and dispersion analysis on the mission control side.

Currently building: a 3DOF trajectory propagator with RK4 integration.
Stack: Embedded C++ · ESP-IDF v5.2 · Python · NumPy · ESP32-WROOM

🏆 Hackathons

🛰️ OrbitGuard

ActInSpace New Zealand 2026 | Team Lead
AI system for satellite collision avoidance decision-making.
My role: Team lead, product direction, pitch
Stack: Python · PyTorch · TypeScript

🌌 Exoplanet Explorer

NASA Space Apps New Zealand 2025 | 2nd Place | Team Lead
ML pipeline turning telescope data into 3D habitability visualisations.
My role: ML pipeline, Random Forest training, habitability scoring
Stack: Python · scikit-learn · Flask · Three.js · Docker

🛠️ Skills

Languages

C++ Python R LaTeX

ML & Data

scikit-learn PyTorch Pandas TensorFlow

Embedded & Tools

ESP-IDF Git Docker Linux

Profile Views

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  1. CelestiAI-Org/Orbitguard CelestiAI-Org/Orbitguard Public

    AI system that learns how satellite collision risk evolves over time. Built in 24hrs at ActInSpace 2026 with skip-connection LSTM architecture.

    TypeScript 1

  2. CelestiAI-Org/nasa-hackathon-2025 CelestiAI-Org/nasa-hackathon-2025 Public

    Exoplanet detection prototype built for NASA Space Apps 2025 - combining ML, 3D visualization, and open-source tools.

    Python 1

  3. project-aphelion project-aphelion Public

    A hardware-in-the-loop flight dynamics testbed for trajectory prediction, state estimation, and uncertainty analysis using real-time sensor data.

    C++