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Mohammad Owais

NUST · 2026

owais03321@gmail.com

Phone

923170527504

https://www.linkedin.com/in/muhammad-owais-759ab5291

GitHub

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Academic

Program

BEE

CGPA

3.36

Year

2026

Education

SEECS

Address

Rawalpindi, Pakistan

DOB

—

Career

Current role

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Target role

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Skills

C, C++, Python, MATLAB, Assembly, Verilog, STM32F7, ESP32, FreeRTOS, Embedded Linux, NVIDIA Jetson Nano, Jetson Orin Nano, FPGA, Vivado, ModelSim, Proteus, STM32CubeIDE, embedded systems, robotics, real-time computer vision, embedded software, applied AI systems, DCS Centum VP, control logic, P&ID diagrams, control valves, field instrumentation, safety interlocks, UART communication, Wishbone bus, RV32IMAC RISC-V, digital design, SoC interfacing, YOLO, object detection, multi-object tracking, gimbal control, inference latency, communication delays, control stability

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

Mohammad Owais
Cell: 923170527504 | Email: owais03321@gmail.com
LinkedIn: https://www.linkedin.com/in/muhammad-owais-759ab5291
Address: H-2 , ST-3 , RAJA SHAFIQ-UR-REHMAN TOWN ROAD ,FAROOQ-E-AZAM RAWALPINDI , Rawalpindi , Pakistan
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

AI enrichment

Mohammad Owais is a Bachelor of Electrical Engineering student graduating in 2026 with a 3.36 CGPA, specializing in embedded systems, robotics, and applied AI. He possesses practical experience in FPGA design, industrial automation, and deploying deep learning models on NVIDIA Jetson platforms for real-time drone tracking.

Skills (AI)

["C", "C++", "Python", "MATLAB", "Assembly", "Verilog", "STM32F7", "ESP32", "FreeRTOS", "Embedded Linux", "NVIDIA Jetson", "FPGA", "Vivado", "YOLO", "Computer Vision", "Robotics", "Embedded Systems"]

Status: ai_done

Provenance

Source file: SEECS - Electrical Engineering-2026.pdf
From job #259 page 76
Created: 1778168427