My Work Experience!

Lead Engineer in AgTech Startup focused on apiary management through data collection, and precise dosing patterns.

Built test control frameworks for multi-axis robotic control software using Python, ROS, and CAN bus. Configured and debugged robotic print systems, including OS setup, and hardware integration. Collaborated with hardware engineers to define software requirements and maintain system validation logs.

Developed CRM integration software to manage users and potential customers. Developed software-integration for Virtual Machines for network management. Utilized JetKVM hardware to integrate with end-user server-management experience.

Developed deep learning pipeline using UNET architecture and TensorFlow for hyperspectral nuclei segmentation, achieving 85% accuracy. Optimized data pipelines using Python and TensorFlow; worked under Dr. Lalit K. Mestha. Lead author on IEEE paper; presenting at ISBI-IEEE. Received Honorable Mention at IEEE Systems Council Student Conference

Nuclei Segmentation Results

Sample 1

Sample 2

Sample 3

Sample 4

Developed a smart garage parking assistant using sensors and real-time feedback to help drivers park safely and efficiently. Demonstrated in the linked video.