Technical Portfolio

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A curated collection of high-impact technical work spanning robotics research, enterprise AI systems, and open source contributions. Selected work represents 4+ years of professional-grade development.

Impact at a Glance

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Featured Work

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Distributed Model Predictive Control for Multi-UAV Formation

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Recognition: Primary research contribution to Robotics and Autonomous Systems (Elsevier) — one of the top robotics journals globally.

This work presents a novel distributed control framework enabling multiple UAVs to maintain formation while achieving consensus. The approach combines Model Predictive Control (MPC) with geometric SO(3) attitude control, achieving 100% success rate across all benchmark scenarios.

Technical Innovation:

• First known implementation of ring/mesh/star consensus protocols with formation MPC
• Quaternion-based geometric controller eliminating gimbal lock issues
• Real-time formation planner supporting multiple geometries

Stack: Python, NumPy, ROS/Gazebo | Repository: Private (available upon request)

Research Contributions

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Modernized Bees Algorithm for Dynamic Path Planning

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Recognition: Submitted to Applied Soft Computing (Elsevier) — leading journal in computational intelligence.

A complete overhaul of the classical Bees Algorithm introducing adaptive parameter tuning and multi-objective optimization for real-world robotics applications.

Repository: GitHub

Hybrid Inverse Kinematics Ensemble with Uncertainty Estimation

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Recognition: Submitted to IEEE Robotics and Automation Letters — premier venue for robotics research.

International Collaboration: Co-authored with Luca Ricci, University of Tuscia, Italy.

This work bridges traditional robotics (Damped Least Squares) with modern machine learning (neural networks), achieving state-of-the-art results through learned uncertainty quantification.

Enterprise Systems

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Sentiment Analysis Dashboard

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Production-grade data pipeline serving Arabic NLP at scale.

Business Impact: Used by Neurobotics Academy students for real-world Arabic text analysis projects.

Local LLM Deployment with RAG

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Enterprise-ready private AI infrastructure.

Edge AI Emotion Detection

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Real-time computer vision on resource-constrained hardware.

Professional Experience

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Embedded Systems Development

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Ala’a Screens Company | Jun 2022 – Oct 2023

Delivered 2 commercial products from concept to deployment:

• Basketball stadium clock/counter system
• Interactive school bus display system

Tech Stack: Atmega8, C, PCB Design (Proteus, EasyEDA)

Automation Infrastructure

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Private enterprise workflow system used daily by team.

Open Source Leadership

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opencode-presentations-skill

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Published npm package with MIT license — freely available for commercial use.

Repository: GitHub

Technical Competencies

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Core Technologies

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Domain Expertise

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• Robotics: MPC, Control Systems, Path Planning, IK
• AI/ML: Computer Vision, NLP, Edge AI, RAG
• Embedded: Firmware, PCB Design, RTOS
• DevOps: Docker, CI/CD, Cloud Infrastructure

Notable Achievements

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• Top 3 — Ramadan Initiatives Award 2026 — Directorate of Development
• 100% research benchmark success — across 3 papers
• 18+ open source contributions — 2 approved PRs
• 2 commercial embedded products — deployed and operational

For detailed technical documentation or code access, contact: molhamfetneh@gmail.com