🎓 Mechatronics Engineering undergraduate | 🤖 Machine Learning Research in Intelligent Systems
I am a researcher focused on intelligent autonomous systems under constraints, optimization and efficiency. My work bridges practical engineering and applied AI, aiming to design systems that adapt efficiently and robustly in complex, dynamic environments.
My research focuses on behavioral adaptation and efficient computation under resource constraints, aiming to maintain robustness, efficiency, and task specialization in low-power, low-memory, or latency-critical environments. Key areas include:
- Parameter-Efficient Fine-Tuning
- Adapting large models to new tasks with minimal computation using LoRA, adapters, and prompt/prefix tuning.
- Efficiency under Constraints
- Optimizing compute, memory, energy, and latency for real-world autonomous systems.
This GitHub documents my learning, experimentation, and research-oriented projects. Repositories include simulations, adaptive control experiments, embedded AI projects, and applied programming for autonomous systems. My research interests and skills are actively evolving as I explore AI and adaptive autonomous systems. This space will grow with my work and experimentation.