Developing AI that uncovers hidden patterns in nature and solves problems beyond traditional modeling
Software Engineering + Mechanical & Aerospace Engineering

• 🎓 Dual major in Software Engineering and Mechanical & Aerospace Engineering

• 🧠 Passionate about modeling and controlling complex physical systems (fluid flows, energy systems, plasma, dynamics, etc.) through advanced AI methods

• ✈️ Conducting research in aerospace data analysis, particularly AI models using satellite and aerial datasets

• 🤖 Interested in autonomous robotic systems capable of exploration and rescue in extreme environments such as outer space and disaster zones

• 🧩 Enjoy implementing algorithms from first principles —
  I build MLPs and various machine learning algorithms from scratch using only NumPy, without relying on high-level ML frameworks

• 🧠 Implementing MLPs and ML Algorithms From Scratch

  • Built multilayer perceptrons (MLPs) and several classical ML algorithms entirely from scratch using NumPy without high-level frameworks
  • Focused on understanding fundamentals such as optimization, loss landscapes, and generalization

• ✈️ Aerospace Energy & Flight Modeling Research (ongoing)

  • Investigating how flight variables and energy consumption interact by analyzing real flight data
  • Aiming to develop efficiency prediction models for electric and hybrid aircraft

• 🛰 Satellite & Aerial Data AI (in planning)

  • Designing AI pipelines for environment understanding, anomaly detection, and mission support using satellite and aerial imagery

• Leverage AI to understand, predict, control, and even replace traditional models of complex natural systems — air, wind, space, and biological processes
• Ultimately, I aim to build safe, efficient, and ethical AI-driven systems for science, aerospace, robotics, and beyond

• 📧 Email: [email protected]