Professional Summary
PhD in Aerospace Engineering and CPL/IR pilot, uniquely positioned to lead the integration and regulation of AI in the aviation industry. Over a decade of international academic and real-world experience building, validating, and deploying safety-critical AI systems for robotics, smart drones (including vision-enabled and drone swarms for shows), and autonomous aviation. Proven ability to bridge the gap between advanced software development (including AI agents, workflows with n8n, and MCP) and the regulatory frameworks required for certifying autonomous systems. Expert in flight test procedure design and university-level instruction in flight test and aircraft performance.
Core Competencies
AI/ML & Deep Learning
AI Agent & Workflow Design (n8n)
Model Context Protocol (MCP)
Human-in-the-Loop Autonomy
Autonomous Systems & Robotics
Drone Swarm Technology
Computer Vision (OpenCV, YOLO)
AI System Integration & Regulation
Safety-Critical Systems
Regulatory Compliance (FAA/EASA)
AI Ethics & Safety
Aviation Safety & FRMS
Flight Simulation & Dynamics
PX4/MAVLink Ecosystem
Flight Test Procedure Design
Aircraft Performance Analysis
Full-Stack Development
Professional Experience
Selected roles — additional consulting and advisory work under NDA
- Developing AI-powered fatigue monitoring system for aviation safety using multimodal machine learning
- Building real-time pilot alertness detection combining eye tracking, EEG, and behavioral analysis
- Sponsored by Foundingteams incubator program
- Commercial drone consulting for clients including Neo Aerospace (Taiwan) and others worldwide
- Led drone show production including Iran MCI 300+ synchronized drone show
- Flight simulation systems design, implementation, and training
- Created and instructing "Virtual Flight Test Laboratory" course (developed from Master's thesis)
- Teaching piloting concepts, flight dynamics, embedded programming to graduate students
- Built full-scale Cessna 172 analog + VR hybrid simulator for hands-on training
- Revenue and payload optimization using machine learning algorithms
- Created public educational YouTube video series on airline economics and operations
- Member of technical simulation team for Aseman Airlines Flight 3704 ATR crash investigation
- Advisory role for ITSB (Iran Transportation Safety Board) organizational design
- Managing web infrastructure and database systems for 10+ years
Selected Projects & Open Source
Featured projects — full portfolio at github.com/alireza787b
| Project |
Description |
Tech Stack |
| MAVSDK Drone Show (257+ ★) |
All-in-one drone swarm solution for PX4 |
Python, React, MAVLink |
| PX4-XPlane Bridge (70+ ★) |
SITL integration for VTOLs and aircraft |
Pascal, PX4, X-Plane |
| Python Gaze Tracker (65+ ★) |
Real-time eye/facial landmark tracking |
Python, Computer Vision |
| PixEagle (36+ ★) |
AI tracking & image processing for drones |
Python, OpenCV, PX4 |
| DroneSphere MCP |
MCP server connecting drones with LLMs |
Python, AI Agents |
| LiquidLapse |
Crypto market analysis with AI |
Python, Selenium, ML |
Open Source Contributions
Selected contributions — many more under NDA or private repositories
- Ultralytics YOLO: Contributed YOLO-based tracker improvements (merged PRs)
- PX4-Autopilot: PX4XPlane bridge integration and enhancements
- MAVSDK: New features and API improvements
- ARK Electronics ARK-OS: Contributions to ARK-OS drone platform
- QGroundControl: Contributions to the ground control station software
Education
PhD, Aerospace Engineering — Sharif University of Technology 2020–2025
Thesis: FRMS-based Pilot Alertness Monitoring using Multimodal Deep Learning
MSc, Aerospace Engineering — Sharif University of Technology 2017–2020
Thesis: Flight Test Engineering → Created "Virtual Flight Test Lab" course
BSc, Aerospace Engineering — Sharif University of Technology 2012–2016
Thesis: Flapping Wing Mechanism — Built functional hummingbird-inspired ornithopter
ATPL Training — Parsis Aviation 2021–Ongoing
PPL, CPL/IR completed | ATP ground school done | Multi-engine in progress
Selected Publications & Academic Service
Peer reviewer for Journal of Air Transport Management, Ergonomics, and others
• Academic Journal Reviewer — Journal of Air Transport Management
• Academic Journal Reviewer — Ergonomics
• Academic Journal Reviewer — Other journals (under NDA)
• "Real-Time Pilot Cognitive Monitoring via Multimodal Fusion" — INFUS 2025
• "Pilot Gaze Patterns and Control Lapses" — Int'l Journal of Aerospace Psychology, 2025
• "Enhancing Pilot Vigilance Assessment" — Journal of Air Transport Management, 2024
Selected International Achievements
• Keynote Speaker — PX4 Developer Summit 2023 (New Orleans, USA)
• Keynote Speaker — Istanbul Zaim University Smart Drones Event 2024
• 1st Place — Future of Unmanned Civil Aviation Ideas, Sochi Youth Festival 2017
• UAE Delegate — ICAO Committee, C-MIMUN Moscow 2020–21
• Team Leader — NASA/AAS CanSat Competition, Texas USA 2018
• Judge — Iran CanSat Competition Technical Evaluation 2020
Technical Skills
Languages:
Python, C/C++, MATLAB, JavaScript, TypeScript, PHP, Java, SQL
ML/AI:
PyTorch, TensorFlow, LangChain, n8n, MCP, Computer Vision
Aerospace:
PX4, MAVLink, MAVSDK, Simulink, X-Plane, QGroundControl
Web/DevOps:
React, Node.js, Docker, Linux, Git
Languages & Online Presence
Languages: English (Fluent) | Persian (Native)
