Saad Abdullah-AI Software Engineer
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Experience
AI Software Engineer
RoBoTec-PTC
- Built data pipelines with DVC for version control and efficient data management
- Trained and optimized AI models
- Improved CVAT with custom annotation formats, AI model integration, and streamlined annotation workflows
- Trained, debugged, evaluated, and deployed DCNN models in production
- Developed MaDCAT, an AI-powered CVAT extension for simultaneous data capture and annotation
Student Assistant
DFKI
- Grasp detection using deep convolutional neural networks
- LLM for spam classification and response generation
- Deployment of neural network on ESP8266 and Arduino BLE 33
- Fusion of camera data (visual odometry) and IMU data to improve robot localization
- Implementation of a PID controller with ROS for an autonomous watercraft
- Creation of URDF robot models and integration into Gazebo simulations
- Camera calibration, image processing, and tag detection for accurate robot positioning
- Sensor fusion using Extended Kalman Filter
- Prosillica camera driver using Prosillica API and OpenCV
Industry Experience
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Experienced in Information Technology.
Business Area Experience
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Experienced in Information Technology, Product Development, and Research and Development.
Summary
AI software engineer with over 2 years of experience in deep learning, computer vision, and robotics.
Focus on optimizing data pipelines, training, and tuning AI models.
Skills
- Programming Languages: Python, C++, C, Sql
- Frameworks: Pytorch, Langchain, Ollama, Opencv, Mmdetection, Detectron2, Flask, Django, Ros, Ros2, Tensorflow, Tflite, Tflmicro
- Development Tools: Docker, Gitlab, Bitbucket, Jira, Jenkins, Mlflow, Dvc, Cvat, Unit Testing, Prompt Engineering
- Microcontrollers: Arduino, Esp232, Raspberry Pi
- Operating Systems: Linux, Windows
Languages
Education
University of Bremen
Master of Science, Control, Microsystems and Microelectronics · Control, Microsystems and Microelectronics · Bremen, Germany
University of Engineering and Technology, Taxila
Bachelor of Science, Electronics Engineering · Electronics Engineering · Taxila, Pakistan
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Experience
Global Experience
Expertise
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Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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