Abdelrahman Hesham Kamel
R&D AI Software Engineer
I work at the intersection of AI and aerospace — building systems that ship.
At AQMAAR.space, I build computer vision and LLM systems for space missions. Previously trained Google Gemini's education features through RLHF at Invisible Technologies. BSc in Navigation Science & Space Technology from Beni Suef University.
Featured Work
Graduation Project
RAG for Space Mission Planning
Built a RAG pipeline over NASA and ESA mission databases — automates feasibility checks that used to take analysts days.
SIRB Project
Production Computer Vision System
Took laser pattern detection from 70% manual accuracy to 95%+ automated. Currently in production for payload testing.
Invisible Technologies
AI Model Enhancement
Wrote and reviewed thousands of STEM solutions used to train Google Gemini's study features via RLHF.
Current Roles
AI Engineer
What I Do:
- Build tracking algorithms for LEO objects
- Own the computer vision pipeline — data collection to deployment
- Deploy models on Azure with CI/CD
- Built internal dashboards for mission telemetry
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
What I Do:
- Write code solutions in Python, SQL, C++ for model training datasets
- Verify physics, math, and CS answers before they reach users
- Review and fix code outputs from Gemini
- Run RLHF loops to improve response quality
- Contribute to Gemini's Guided Learning feature
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
Previous Experience
Tools I Use
AI & Machine Learning
Python
TensorFlow
PyTorch
Scikit-learn
Cloud & DevOps
Azure
AWS
GCP
Git
MLflow
Data Science
Pandas
NumPy
Jupyter
SQL
Programming
JavaScript
React
Certifications
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.
View Certificate
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.
What I Studied
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
How This Connects to AI
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.
Gallery
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