Prajwal Kulkarni

I am an Electronics and Communication Engineering graduate with an 8.98 GPA, specializing in developing end-to-end deep learning frameworks, real-time computer vision pipelines, and REST APIs using technologies such as Python, C/C++, PyTorch, OpenCV, Docker, and FastAPI. During my tenure as a Research Intern at the Department of Neurosurgery at AIIMS New Delhi, I architected a multi-agent Llama AI and Visual RAG system to automate surgical suturing evaluation and built a synchronized three-camera hardware system for endoscopic hand-eye coordination research. Most recently, as a Data Science Intern at Tech Fortune Technologies in Bengaluru, I engineered real-time Dockerized vehicle tracking APIs using YOLOv8n and SORT, while also teaching machine and deep learning workshops to over 100 students. As a recognized high achiever who ranked in the top 1% (Elite + Gold) of the IIT Ropar NPTEL Deep Learning course and attended the 2024 Graphics and Vision Summer School at IIT Delhi, I have demonstrated proven expertise in complex domain challenges, including medical model calibration and ultra-low-latency industrial posture analysis