As a Sr. Machine Learning Engineer at Torc Robotics, I am building critical ML infrastructure for the L4 self-driving class-8 trucks, paving the way for safer transportation of freight.

I have a decade of experience in delivering impactful robotics solutions across various industries, such as industrial automation, logistics, agriculture, and security. At IUNU, I led the creation of a tomato leaf pruning robot's perception software in just 8 months, building the software module from scratch and optimizing it for greenhouse conditions. At MHS, I led the computer vision R&D for the package singulation and side-by-side eliminator robot products, achieving state-of-the-art flow rates and generating 90M+ USD revenue. I have also published a paper, filed two patents, and obtained multiple certifications in machine learning and computer vision.

I attended a Master of Science in Computer Science from Indiana University Bloomington. I am proficient in Python, PyTorch, TensorFlow, Linux, Git, GCP, NVIDIA Jetson, and ROS. I am passionate about developing innovative and scalable solutions that leverage the power of AI and robotics to improve lives and businesses.