Hire the Best CUDA Developers
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👋 Hi, I’m Mohamed — a Top Rated🏆 Senior Software Engineer. 🚀 I help companies design, build, and deliver high-performance software systems — from computer vision and AI pipelines to real-time desktop applications and embedded platforms. 🧩 What I deliver: ✅ Industrial Computer Vision Systems 🔹Integration with industrial cameras (Basler, Luxonis, FLIR / Point Grey) 🔹High-accuracy inspection, measurement, and defect detection 🔹Optimized OpenCV pipelines in C++ and Python 🔹Hybrid pipelines combining deep learning with classical computer vision for robustness ✅ Deep Learning (ResNet, U-Net, YOLO, MediaPipe, ...) 🔹Custom dataset creation, labeling, and curation 🔹Inference optimization for CPU, GPU, and edge devices 🔹YOLO for real-time object detection, segmentation, OBB, and pose estimation 🔹YOLO fine-tuning and transfer learning for domain-specific data 🔹MediaPipe for pose estimation, hand tracking, face landmarks, and motion analysis ✅ Real-Time & Performance-Critical Software 🔹Low-latency C++ systems optimized for speed and memory 🔹Multithreading, SIMD, profiling, and algorithmic optimization 🔹GPU acceleration (CUDA) when justified 🔹Designed for long-running, production-grade operation under real-world constraints ✅ Embedded & Edge AI 🔹Vision and AI deployment on Raspberry Pi 🔹Sensor integration, control logic, and hardware-in-the-loop testing with ESP32, Arduino ✅ Full Project Ownership 🔹System architecture and technical leadership 🔹Desktop GUIs: Qt, MFC, OpenGL 🔹Clean handover, documentation, and maintainable codebases 👉 Let's discuss how I can bring your AI, computer vision, or embedded system project to life.

I'm a geometry and meshing processing software engineer with expertise in building high-performance computational geometry solutions. Currently, I work at Atomica AI, a US-based dental CAD application, where I develop and optimize core geometry processing systems. I also create math animation with The famous 3b1b Manim library.

Software often runs into problems: slow performance, unstable behavior, and code that fails to scale. I focus on solving these challenges by building systems that are fast, reliable, and maintainable. With experience in C, C++, Zig, and Rust, I specialize in: - Systems programming — developing efficient, low-level software close to the hardware - Cross-platform development — making applications run consistently across environments - Performance optimization — improving execution speed and reducing resource usage - Open-source collaboration — contributing to and integrating with community projects

- A hardworking and dedicated to optimization DevOps engineer with passion for troubleshooting and debugging problems with 4+ years experience. I have extensive experience with the following tools and technologies: ✓ Cloud providers : AWS , GCP , Contabo ✓ Operating systems : Linux ✓ Orchestration : Kubernetes , EKS , GKE , Docker-Compose , Minikube ✓ Scripting : Terraforming , bash , Ansibile , python , yaml , json ✓ Databases: MySQL, MongoDB, PostgreSQL ✓ CI/CD : Jenkins , Github-actions ✓ VCS : Git , Github ✓ Logging,Monitoring and Alerting : Grafana , Loki , Prometheus , Fleuntbit , vector , elastic cloud , ELK I had Previous experience in the following practices :- • Troubleshoot linux servers issues and automate system admin tasks • Enhance Docker images using multistage dockerfile • Modularize Terraform code and enhance already written code for reusability • Create automation testcases pipeline for running automated testcases using mocha and github actions • Terraformize the creation of self-hosted runners on kubernetes • Monitor applications performance and logs using loki, grafana, promethues • Install multiple applications using modern different cloud infrastructure such as EKS and GKE • Provision Hashicorp Boundary dev, productions servers for better security restrictions • Optimize the pipelines using docker caching • Implement DevSecOps cycle using sonarqube(SAST), OWASP zap (DAST), clair (Docker scanning), and npm audit (SCA) • Deep experience in fixing and troubleshooting android and IOS pipelines problems using github actions • Least privileges , short lived credentials , service accounts used inside pipelines workflows for security purposes using github actions and aws assume roles • Create and manage Helm deployments into multiple orchestration platforms

A professional programmer with expertise in C/C++ and Python, specializing in developing Qt Desktop Applications, AI, and data science projects, My passion for programming began when I was 18 years old. Since then, I’ve dedicated myself to creating innovative solutions and tackling complex challenges in the tech world, Over 7 years, I’ve worked on numerous projects, honing my skills in data analysis and AI development. I’m now focusing on opportunities in NLP AI projects, where I can apply my knowledge and creativity to make meaningful contributions.

Autonomous Robotics Software R&D Engineer | Founder @ DevServers We have special offers for long-term collaboration! In the past 2 years, I managed to help many clients with their Robotics projects over the world (Canada, UK, USA, Russia, Australia, Romania, Norway, Turkey, Malaysia, Ukraine, Poland, Italy, India, Taiwan, KSA, and Egypt). My experience has been formed mainly by self-learning and working on several Robotics projects that gave me a huge hands-on experience with many software technologies and working on different types of robots(Mobile Robots and Humanoids). Recent Projects 🔥 ----------------------- • WebRTC • Web-based platform to teleoperate remote vehicles. • Vision-based ball-tracking ABB Robot-arm • Autonomous Agriculture tractor. • Autonomous Disinfection Robot. • AWS (IoT Core, GreenGrass, Lambda)-based Autonomous racing vehicle similar to MIT MuSHR vehicle. • Real-time 360 Video stitching for Autonomous Driving. • Multi-robots Gazebo simulation on shared machines {​​​​​​​​​​​​ local(Gazebo+RVIZ) and AWS EC2 instance(SLAM +Navigation +DL-segmentation ROS pkg) }​​​​​​​​​​​​ • Working on developing a generic SDK for any simulated/real stereo-based robot. • Building MuJoCo robotic models and control it from ROS1/2 pkgs. • 3D Lidar-SLAM open-source algorithms testing with different datasets. • Autonomous Mobile Wheeled Diff. Robot using D435i+T265. • Autonomous differential mobile robot with arm using NVidia Isaac SDK. • Reinforcement Learning for a humanoid model in Mujoco with ROS2 communication. • Autonomous steering mobile robot using ZED, Hokuyo, Xsens IMU, and RTK-GPS Ublox for the agriculture industry. • Autonomous Differential mobile robot for Snow Scrapping. • Reinforcement Learning for Robotics using OpenAI and Gazebo-gym ROS packages. • Humanoid robot(Gazebo simulation and real-world). • Mobile robot gazebo model with RealSense D415, D435, D435i, and RealSense TS265 cameras on AWS RoboMaker. • Mobile robot with researching about different SLAM algorithms. • Enhanced Visual SLAM ROS package that's derived from the RTAB-Map package. • Creating a complex Environment in GzWeb on EC2. • Multi-robot task allocation simulation for validating a research paper and it got published. Hands-on Expertise ----------------------- • Experienced with Docker and Kubernetes. • Experienced with Jetson Nano, TX2, Xavier, Xavier NX, and Raspberry PI3/4. • Experienced with Intel D435i, T265, and ZED1/2 cameras. • Experienced with Linux Development and Shell Scripting. • Experienced with move_base, EKF, gmapping, RTAB-Map, ROS planners, Urdf/Xacro robot descriptions, and different ROS wrappers for physical sensors/actuators. • Experienced with AWS and GCP services • Experienced with Git. More details --------------- My interest in Autonomous Robotic Systems requires me to get professional with many technologies such as Computer Vision, Machine Learning, ROS1/2, MuJoCo, Gazebo, SolidWorks, Control, Stage, RVIZ, Matlab robotics toolbox,... etc. I've taken many online courses to gather all the basics in a proper way. Recently, I've been Mastering several of the AWS services such as (VPN-connection, RoboMaker, GreenGrass, IoT, S3, EC2, Cloud9, FreeRTOS, Kinesis, Lambda, DaynmoDB, Glue, Athena, CloudWatch, Serverless application, IAM,... ) Programming Skills ------------------------- • C++: Experienced with Data structures, Algorithms, OOP • Python: Experienced with OOP, many packages, frameworks, and writing automation scripts • Image Processing using open cv in Python • ROS1/2 programming(ROS Nav-stack, Moveit, Gazebo APIs, services, actions, synchronization, ros_controllers, ...) • Stage and Gazebo(URDF/SDF, SolidWorks urdf_exporter, Joint transmission, Joint controllers, all sensor plugins, gazebo physics properties, Gazebo-gym and OpenAI, ....) ML, RL, DL ---------------------- • Understanding the basic concepts about the RL structure and different baselines. • Understanding GAN models • Tested many HandPose models. • Machine Learning course from Stanford University by Andrew NG from Coursera • Introduction into deep learning using Pytorch Nanodegree from Udacity • Deep Learning Specialization from deep.ai via Coursera. Tools ------- VSCode, ClearCase, sniff++, notepad++, remote machine software, NoMachine, AWS, Anaconda, Visual Studio, CodeBlocks, Eclipse, Sublime, Atmel Studio, AVRDUDESS, JT link programmer, Qt Creator, Matlab /Octave & Simulink, Git /Github, Proteus, Gazebo, GZweb, Stage, LaTeX.