Welcome to my GitHub — where machine learning meets orbital mechanics, and theory becomes toolkits. I'm currently pursuing a PhD in Aerospace Engineering at Carleton University, developing intelligent guidance and control strategies for spacecraft using a fusion of AI and control theory.
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🛰 Autonomous Systems & Spacecraft GNC
Developed uncertainty-aware path planning and docking algorithms using Koopman theory, optimization, and simulation-based control. -
🤖 Applied Machine Learning & Generative AI
Designing data-driven systems for forecasting, classification, and autonomous decision-making in aerospace, fintech, and education. -
☁️ Scalable AI on the Cloud
Building and deploying ML pipelines using Google Cloud Platform (GCP) — Vertex AI, BigQuery, Cloud Functions, and more. -
📚 Research to Reality
I publish, present, prototype — and turn ideas into tools that actually work.
Languages: Python • Julia • MATLAB • SQL • C++
ML Frameworks: PyTorch • TensorFlow • scikit-learn • Flux.jl
AI Topics: 3D CNNs • Transformers • Time-Series Forecasting • Koopman Operator Theory • Probabilistic Optimization
Scientific Computing: SciML • DifferentialEquations.jl • Optimization.jl • NLopt • MOI
Cloud & DevOps: GCP • Vertex AI • BigQuery • Streamlit • GitHub Actions • Docker
- 🌍 Portfolio: lakshay-arora.com
- 💼 LinkedIn: linkedin.com/in/lakshay-arora
- 📚 Google Scholar: My Publications
- ✉️ Email: [email protected]
- 🧠 Follow my hashtag: #MathBehindMLAI
"Complex systems deserve intelligent solutions — not more guesswork."