Hi, I am a graduate with a Bachelor's Degree in Aerospace Engineering from NUST.
I have a strong background in numerical simulation of complex physical models , encompassing Computational Fluid Dynamics (CFD) and gravitational models. Additionally, I've honed my skills in robot obstacle avoidance algorithms and Finite Element Analysis (FEM) for structural optimization, utilizing MATLAB and Python. I also have done extensive research in Thermographic NDT and thermal image processing.
With a history of delivering results and a commitment to meeting deadlines, I offer versatile expertise to enhance your projects. Let's collaborate to achieve your goals efficiently and effectively.
MATLAB
Python
ANSYS
CFD Analysis
Abaqus
Machine Learning
Finite Element Analysis
Machine Vision
Image Processing
Mathematical Modeling
Syed Muhammad Musa K.
Lahore, Pakistan
$30/hr
5.0
2 jobs
๐ Aerospace Engineer | AI & Computer Vision Specialist | Drone Programming
Hello! I'm Musa, an accomplished professional uniquely positioned at the intersection of aerospace and computer vision. My journey began with a bachelor's final year project that seamlessly integrated AI with aerospace, shaping both my academic achievements and paving the way for my professional endeavors. I specialize in transforming piloted UAVs into mission-specific autonomous systems.
๐ Experience:
๐ Aerospace
๐ Flight Dynamics (Mathematical Modeling)
๐ Flight Controls Systems
๐ Rotor Design
๐ Rotor Control Systems
๐ Autopilot Designs (Pitch hold, Altitude Hold, Velocity hold, Mach hold, Climb/Descent Rate hold, Bank Angle hold, Coordinated Roll Angle hold, Heading Angle hold)
๐ Computer Vision
๐ Detection, Segmentation, Pose Estimation
๐ Model (Yolov8, Yolo-Nas, EfficientDet, RetinaNet, R-CNN)
๐ Tracking Algorithms (ByTrack Tracker, OC-Sort Tracker, Deepsort Tracker)
๐ Hardware-Software Fusion
๐ Raspberry Pi and Nvidia Edge Devices (Jetson Nano, Jetson Xavier, Jetson AGX Orin)
๐ Python (Tensorflow, Keras, OpenCV, TensorRT)
๐ ๏ธ Technical Expertise:
In the realm of drone autonomy, my expertise shines. I've successfully designed a palm-sized Micro Aerial Vehicle (MAV) (drone) capable of high-speed operations. Utilizing cameras and implementing computer vision, this MAV can autonomously follow and track targets. Our groundbreaking ground station, processes live video feeds from the drone using some computer vision techniques and transmits data at high speeds via telemetry over a radio link.
๐ Software Applications:
My proficiency extends to various software applications, where I integrate pretrained detection, segmentation, and pose estimation models to enhance everyday tasks. During my tenure at InPhoenix, I developed an Automatic Parking Ticketing System as a valued member of a dynamic team. Leveraging CCTV cameras and YOLO models and other computer vision techniques, we tracked each car, assigned a unique ID, and monitored parking spaces for illegal use. This project showcased the seamless fusion of AI with real-world applications.
๐ง Hardware Expertise:
On the hardware front, I boast hands-on experience in building and deploying drones for diverse applications. My familiarity with Pixhawk, Cube Pilot, and Ardupilot has enabled successful drone missions tailored to specific needs. I've also worked extensively with Nvidia Jetson Nano, Jetson Xavier, and Jetson AGX Orin, and Raspberry Pi pushing the boundaries of what's possible in the realm of autonomous systems.
๐ป Programming Languages:
As a proficient Python developer, I specialize in crafting efficient code for autonomous systems. Additionally, I'm currently expanding my skills in C++ to enhance performance-critical applications and broaden my capabilities in software development.
๐ Achievements:
- I have created a drone that fits in the palm of a hand and can automatically track and follow fast-moving objects using visual recognition and tracking
- I created an Automatic Parking Ticketing System that monitors the cars entering the parking lot and issues tickets to the drivers based on whether they visited the store or not. I was evaluating if they were loyal or disloyal customers.
-I achieved over 100 fps on 1080p video using yolov8-large models on RTX 4070 GPU. I did this by optimizing the weights using TensorRT with int8 precision.
Let's collaborate and propel your projects to new heights! Contact me today, and let's make your vision a reality. ๐๐
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