Real-Time Vehicle Speed Estimation
Built an edge AI pipeline on NVIDIA Jetson Orin using TensorRT-accelerated YOLOv8 and homography-based speed estimation.

Computer Engineer with a focus on Computer Vision and AI development. Experienced in building edge AI pipelines, full-stack applications, and data-driven automation.
Experimented with DeepStream pipelines for real-time person counting on NVIDIA Jetson. Explored end-to-end computer vision workflows for video analytics.
Developed Python automation scripts for log parsing and performance reporting. Evaluated Python frameworks for PDF parsing and containerized applications using Docker.
Developed a prototype for a hospital information management system using Java Vaadin. Managed databases and implemented secure data operations.
Built an edge AI pipeline on NVIDIA Jetson Orin using TensorRT-accelerated YOLOv8 and homography-based speed estimation.
Developed a Streamlit application with 24/7 uptime automation and Gemini 2.5-flash integration to simulate personal communication.
Developed a multimodal deep learning model fusing clinical metadata with lesion images, achieving 83.9% accuracy.
Certification in LLM application development.
Foundational cloud computing certification.
Course on machine learning concepts and implementation.
Comprehensive machine learning specialization.
Intensive data analysis training program.