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Object Detection

Freelancer Overview

I am a Computer Science student with hands-on experience in machine learning, data processing, and AI-driven robotics. My work as a research intern and undergraduate researcher has given me a strong foundation in data ingestion, annotation, and pre-processing, especially using APIs and real-time data streams from sources like satellite imagery. I have developed algorithms for quantitative precipitation estimation and robotic grasping, which involved extensive data labeling, filtering extraneous values, and training neural networks. My technical skills include Python, C++, SQL, PyTorch, and tools such as ROS/ROS2 and NVIDIA Isaac Gym, and I have applied these in projects ranging from medical robotics to satellite data analysis. I am passionate about building reliable AI systems through high-quality training data and annotation processes.

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