I work at the intersection of AI and physical systems. My technical focus spans machine learning, computer vision, and edge computing. I build machine learning models and perception pipelines that operate in both software environments and autonomous physical platforms.
My engineering interest lies in applying AI to real-world environmental challenges. I focus on deploying autonomous technologies to support AgriTech, wildlife monitoring, and sustainable engineering, where intelligent systems must operate reliably in resource-constrained environments.
- Machine Learning & Computer Vision: PyTorch · OpenCV · YOLO · Scikit-Learn · NumPy · Pandas
- Core Languages & Systems: Python · Linux/Bash
- Edge Compute Platforms: NVIDIA Jetson (Orin, AGX) · Raspberry Pi · ESP32
- LinkedIn: linkedin.com/in/shailendrachandrasekaran
- Email: shailendra.23ad@kct.ac.in