The goal is to drive profit maximization through precision in outdoor advertising pricing strategies.Developed cutting-edge Neural Network models tailored to the client’s unique time-series data.Employed sophisticated mathematical algorithms to navigate the complexities of price optimization.Integrated Reinforcement Learning to refine the model iteratively based on real-time user feedback, ensuring continuous improvement and adaptation.
Achieved a marked increase in profitability for the client, demonstrating the effectiveness of the customized solution.Implemented the solution on a cloud platform, providing scalability and secure access to technological advancements.This project stands as a testament to leveraging advanced analytics in enhancing profitability through strategic pricing, solidifying our client’s market position and delivering a robust return on investment.

Create an advanced solution for identifying and quantifying bacteria in microscopic images with near-perfect accuracy.Engineered and trained a state-of-the-art YOLOv5 deep Neural Network model to accurately identify bacteria, achieving an impressive 99% accuracy rate.Leveraged the NVIDIA Jetson Nano platform, optimizing the AI model with TensorRT for CUDA-accelerated inference, resulting in a significant speed increase.
Transformed the YOLO network decoder from Python to high-efficiency C++ code, enabling direct programming of tensors on the GPU for faster processing.Applied Knowledge Distillation methods to distill the AI model, ensuring it remains lightweight without compromising performance, perfectly suitable for the compact Jetson Nano environment.