Mohammad Owais

PROFESSIONAL PROFILE Electrical Engineering student with hands-on experience in embedded systems, robotics, and real-time computer vision on embedded platforms. Interested in entry-level roles involving embedded software, robotics, and applied AI systems. EDUCATION Bachelor of Electrical Engineering School of Electrical Engineering and Computer Science (SEECS) , Islamabad , 3.36/4 (2026) INTERNSHIP EXPERIENCE Fatima Fertilizer Co. Ltd. (Pak-Arab Plant) 16-Jun-2025 - 28-Jul-2025 Worked in an industrial process plant environment with exposure to automation and instrumentation systems. Assisted in the DCS Centum VP Simulator Revival Project, gaining practical understanding of control logic and system operation. Analyzed P&ID diagrams of the ammonia refrigeration system, studied control valves and field instrumentation, and reviewed cause-and-effect documentation to understand safety interlocks and control workflows. This experience provided practical insight into real-world control systems and industrial standards. ChipXPRT 15-Jul-2024 - 02-Sep-2024 Worked on implementing UART communication over a Wishbone bus to interface with an RV32IMAC RISC-V processor on an FPGA. Developed the design in Verilog using Vivado, gaining hands-on experience with digital design, SoC interfacing, and embedded hardware workflows. FINAL YEAR PROJECT Deep Learning–Based Drone Detection and Tracking Developing a real-time drone detection and tracking system using live video from a Viewpro Q10N gimbal-mounted camera, deployed on NVIDIA Jetson embedded platforms. The system performs YOLO-based object detection and multi-object tracking under strict real-time constraints, with deployment initially on Jetson Nano and later scaled to Jetson Orin Nano for improved inference throughput. Perception outputs are integrated with a custom Python-based gimbal control interface using packet-level communication, enabling closed-loop, image-plane error–based visual tracking rather than standalone detection. The project focuses on system-level challenges such as inference latency, communication delays, control stability, and robustness in embedded deployment, with a modular architecture designed to support future extensions in tracking, control tuning, and decision logic. TECHNICAL EXPERTISE Programming Languages C, C++, Python, MATLAB, Assembly, Verilog Embedded & System Software STM32F7, ESP32, FreeRTOS, Embedded Linux Hardware & Engineering Tools NVIDIA Jetson Nano, Jetson Orin Nano, FPGA platforms, Vivado, ModelSim, MATLAB, Proteus, STM32CubeIDE

Electrical Engineering student with hands-on experience in embedded systems, robotics, and real-time computer vision on embedded platforms. Interested in entry-level roles involving embedded software, robotics, and applied AI systems.