Abdulrahman Hisham Kamel
R&D AI Software Engineer
Building Production AI Systems for Aerospace & Enterprise
I build production-grade AI systems, specializing in LLMs and Computer Vision for the aerospace industry. From R&D to deployment, I create scalable solutions on enterprise cloud infrastructure.
Featured Work
Graduation Project
RAG for Space Mission Planning
AI application demonstrating LLM technologies in the aerospace domain.
SIRB Project
Production Computer Vision System
High-accuracy computer vision solution for critical space mission operations.
Invisible Technologies
AI Model Enhancement
Improved AI accuracy for Gemini's new "Guided Learning" feature through Reinforcement Learning with human feedback.
Active Missions
AI Engineer
Key Responsibilities:
- Develop AI systems for space mission planning
- Integrate multiple disciplines into AI platforms
- Build production AI systems on Azure
- Create real-time analysis dashboards
AI Engineer Achievements
- Architected real-time predictive analysis systems for LEO object tracking
- Led QA and validation teams for mission-critical computer vision deployments
- Developed production-grade tracking algorithms for satellite operations
- Oversaw mobile application prototyping and MVP delivery
AI Coding Trainer
Key Responsibilities:
- Generate high-quality code solutions (Python, SQL, C++)
- Ensure scientific accuracy of AI STEM content
- Improve code quality for multiple clients
- Enhance AI model performance
- Train multiple LLMs for AI study features
AI Coding Trainer Achievements
- Delivered high-volume, production-quality code solutions for model training
- Established scientific accuracy standards for AI-generated STEM content
- Optimized data quality pipelines impacting thousands of end-users
- Executed RLHF workflows to refine large language model behaviors
Professional History
SIRB
Manual laser pattern detection had 70% accuracy, causing mission risks.
Real-time computer vision system using TensorFlow with 95%+ accuracy.
Reduced human error and operational costs for critical space missions.
Google EDU
Training Google Gemini to power "Guided Learning" features.
Lack of consistent, expert-verified STEM datasets for training.
RLHF, Supervised Learning, STEM Knowledge Modeling.
Ionospheric Forecasting
Predicting ionospheric disturbances affecting satellite operations.
Deep learning model (LSTM/GRU) predicting VTEC anomalies with 92% accuracy.
Enables proactive mission planning and reduces comms risks.
Autonomous Mission Design
Manual mission analysis is slow and error-prone.
AI automation platform using RAG and fine-tuned LLMs for context-aware planning.
Automated analysis workflows, reducing design time significantly.
Filmoria
AI reco engine, chatbot, and real-time face recognition/actor detection.
Flutter (Mobile), Python (Backend), Computer Vision.
Production-ready app analyzing user preferences for personalized suggestions.
Robotic Arm Manipulator
2-DOF robotic arm with precision gripper and custom control algorithms.
Mechatronics, embedded systems, and hardware-software integration.
High-accuracy pick-and-place operations.
Technical Skills
Comprehensive technology stack across AI/ML, Cloud, and Development
AI & Machine Learning
Python
TensorFlow
PyTorch
Scikit-learn
Cloud & DevOps
Azure
AWS
GCP
Git
MLflow
Data Science
Pandas
NumPy
Jupyter
SQL
Programming
JavaScript
React
Crew Credentials
Industry-recognized certifications validating expertise in AI, Machine Learning, and Cloud Technologies
Azure AI Fundamentals
Microsoft AI-900
Azure AI Fundamentals (AI-900)
Microsoft certification demonstrating foundational knowledge of AI and machine learning concepts, Azure AI services, and responsible AI practices.
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Introduction to Generative AI
AWS
Introduction to Generative AI
AWS certification covering generative AI concepts, use cases, and AWS services for building generative AI applications.
View Certificate
AI & Data Science
Microsoft Nano Degree
Microsoft AI & Data Science Nano Degree
Comprehensive training program covering machine learning algorithms, deep learning, NLP, MLOps with MLflow, and Azure AI services.
April 2024 - Nov 2024Education
Bachelor's Degree
Beni Suef University
Navigation Science and Space Technology
A comprehensive 5-year program combining space technology fundamentals with advanced mathematics, programming, and control systems. This interdisciplinary degree provides the mathematical and technical foundation essential for AI engineering in aerospace applications.
Core Foundation for AI Engineering
Mathematics 1-4: Advanced calculus, linear algebra, differential equations, probability theory, statistics, statistical analysis
Python, C++, Perl, MATLAB, embedded C, embedded systems, robotics
Control theory, wave propagation, antennas, signal processing
Mission planning, orbital mechanics, orbital maneuvers, structural analysis
Why This Degree Matters
AI Foundation
Strong mathematics and statistics background for ML algorithms and neural networks. Deep understanding of linear algebra, calculus, and probability theory essential for building robust AI systems.
R&D Experience
Built RAG-powered AI for space mission planning. Hands-on research experience at Egypt Space Agency solving real aerospace challenges. Applied AI research in space technology domain.
Production Ready
Embedded systems and signal processing training for AI systems that work in real-world production environments. Understanding of system integration and deployment.
Domain Expertise
Specialized knowledge in space technology, orbital mechanics, and mission planning. Unique ability to bridge aerospace engineering with AI innovation for practical solutions.
Problem Solving
Trained in complex systems thinking and multi-disciplinary problem solving. Experience working with real-world constraints and engineering challenges.
Collaboration
Experience collaborating with researchers, engineers, and scientists across multiple institutions including EgSA, NRIAG, and Cairo Airport Labs.