At Infosys Springboard, I developed an AI web app using ReactJS and Flask to integrate YOLOv8 object recognition. I fine-tuned the model on custom datasets, improving precision by 15% and cutting latency by 20%.
I also built and tested backend APIs with Postman and prototyped ONNX Runtime optimizations for AI accelerators, accelerating execution by 25%.
On my AI-enabled logistics optimizer project, I combined vessel, weather, and demand data to support cost-optimal scheduling. The project won 3rd place in Smart India Hackathon 2025.
My projects also include an object recognition system and a deepfake detection platform using 3D CNNs, RNNs, and ensemble learning. I’m studying Computer Science (Data Science) at Gokaraju Rangaraju Institute of Engineering and Technology (GRIET).
