Dynamic researcher specializing in Python and ROS, with a proven track record in developing AI-driven robotic communication systems at Swift Robotics, resulting in enhanced operational efficiency. Expertise in machine learning and OpenCV led to the optimization of real-time anomaly detection systems, significantly bolstering security measures. Strong analytical skills and a collaborative approach contribute to successful project outcomes in high-pressure environments.
1· Neurocontrol Wheelchair (2020 – 2021): Designed a wheelchair controlled through neuro- signals for individuals with mobility challenges, ensuring improved accessibility and control.
2· AI-Based Anomaly Detection and Robot Communication System by Swift Robotics (2024): Designed and developed a real-time anomaly detection system using YOLOv10 for fall detection, unauthorized access, and weapon identification. Integrated the detection module with a ROS1-based server communication framework enabling coordinated mobile robot responses. Built custom ROS nodes in Python for event handling, display, and actuation. Ensured system scalability for real-world deployment in public and healthcare environments. Project sponsored by Swift Robotics.
3·SQL-Based Financial & Market Analysis (2024 – 2025): Conducted financial and market analysis using MySQL and Power BI, optimizing query execution with subqueries, functions and enhancing efficiency. Provided insights into sales, expenses, and supplier performance, enabling data- driven decision-making for business growth.
· Python
· Arduino
· Applied AI
· SQL
· PowerBi