Hey, I'm Anas 👋

I'm building robots
that save lives.

I'm a robotics and AI engineer, and I want my work to matter — machines that go where people can't, find survivors, and bring them home. That's the mark I'm trying to leave: technology that saves lives.

Roboticist ROS 2 Developer DRL Researcher Trainer · 25+ countries
Download CV anas.m.qd@gmail.com LinkedIn Turkey
Anas Alqadhi holding his Faculty First Place certificate
Faculty First Place · 2026

Experience

Where the
work happens.

TÜBİTAK-funded research at Fırat University's RAI Laboratory — SLAM pipelines, deep RL navigation, and embedded AI, taken from simulation to real hardware.

TÜBİTAK 1001 · RAI Lab — Intern → Researcher
TÜBİTAK 2209-A · Project Lead
goFLUENT · Corporate Trainer (Remote)
The GPS-denied mapping rig

Our GPS-denied mapping rig — LiDAR, IMU & Jetson

2 Active Roles

TÜBİTAK 1001 · RAI Lab

Jun – Oct 2025

Robotics & AI Lab Intern

Integrated Go2 quadruped, Velodyne LiDAR, RGB-D camera, and Pixhawk onto Jetson AGX Orin — SLAM and sensor-fusion pipelines for disaster-response scenarios. Followed a 2024 summer internship at the same lab.

ROS2 SLAM Jetson AGX Orin C++
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TÜBİTAK 2209-A · Project Lead

Ongoing

Autonomous Navigation System

Deep reinforcement learning (SAC/PPO) + SLAM on TurtleBot3 and Jetson AGX Orin — real-time adaptive navigation in dynamic environments.

TÜBİTAK 2242 · National Finalist 1st · Faculty Project Expo — Interview
Deep RL (SAC/PPO) SLAM TurtleBot3 Gazebo
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Published
IEEE ICHORA 2026 Oral Presentation · Paper 331 Ankara · May 21–23, 2026 View on IEEE Xplore

Drift-Resilient Indoor 3D Mapping in GPS-Denied Environments Using RKO-LIO with Velodyne–Pixhawk Integration in ROS 2

Alqadhi, A. M. N. S., Bajhaw, M. A. M. S., El Muhammed, M., & Ucar, A. (2026).

RKO-LIO fuses Velodyne VLP-16 LiDAR with a Pixhawk IMU on Jetson AGX Orin for drift-resilient indoor 3D mapping in GPS-denied environments — SLAM research with direct applicability to disaster response and defense robotics.

Under Peer Review

PV-STAM: Velocity-Aware Attention for Mapless Deep Reinforcement Learning Navigation in Dynamic Environments — currently under peer review

Nov 2025 – Jan 2026

ROS2–YOLO–LiDAR Sensor Fusion

YOLO object detection fused with LiDAR depth projection — a distance-aware, multi-sensor perception pipeline built on ROS2.

YOLO LiDAR ROS2 OpenCV
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National 3rd · YDDD 2025

3D ReMaker — Multifunctional Machine

Converted a broken 3D printer into a 3D printing + laser engraving + paper drawing system. 3rd place nationally.

Hardware 3D Printing Laser Engraving
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Projects

Built from first principles.

Multi-sensor perception, deep RL navigation, and a national award-winning hardware rebuild — taken from simulation to real machines.

ROS2–YOLO–LiDAR Sensor Fusion
3D ReMaker — National 3rd Place
4 Projects Completed

Tech Stack

Technical Skills

AI & Machine Learning

Python Deep RL (SAC/PPO/MADDPG) YOLO OpenCV

Robotics & Systems

ROS / ROS2 SLAM Sensor Fusion C / C++ Gazebo

Hardware

Jetson AGX Orin Velodyne VLP-16 Intel RealSense Pixhawk

Languages

Arabic Native
English TOEFL 100
Turkish Fluent

Background

Education & Credentials

Mechatronics Engineering — Fırat University
GPA 3.50/4.00 · Ranked 1st in Department · Class of 2026
IsDB Scholar
Islamic Development Bank · 2022–Present
Upcoming: ISR-Lisboa · Research Internship
Instituto Superior Técnico · Lisbon · 2026

Certifications

Machine Learning Specialization — DeepLearning.AI / Stanford
Reinforcement Learning — University of Alberta
CS50 — Harvard Online
Milli Teknoloji Akademisi — AI & Autonomous Driving

Journey

From scholarship to the lab.

2022 IsDB Scholarship Selected as Islamic Development Bank scholar — Mechatronics at Fırat University.
2024 TÜBİTAK Research Joined the RAI Lab — two funded projects in SLAM and deep RL navigation.
2025 National 3rd Place 3D ReMaker wins 3rd nationally at the YDDD design competition.
2026 IEEE Author · Ranked 1st First paper at IEEE ICHORA; graduating top of the department.
Sep 2026 Lisbon → Next Research stay at ISR-LARSyS, Instituto Superior Técnico — then PhD applications.

Gallery

A few good days.

Proof that the robots occasionally cooperate.

The moment after ranking 1st — an on-camera interview at the faculty exhibition

Anas Alqadhi on graduation day

Graduation day — Fırat University, 2026

Receiving the Creativity & Innovation Shield

Receiving 3rd place — Invention & Innovation Competition, 2025

Presenting the DRL navigation robot at the faculty exhibition

Presenting the DRL navigation robot — Faculty 1st, June 2026

Creativity & Innovation Shield plaque

The shield — Yemen Friendship & Cooperation Association, Türkiye

Contact

Let's build something
worth building.

Recruiter, researcher, or just curious about the robots — I read every email. Heading to Lisbon this September.

anas.m.qd@gmail.com
LinkedIn
anas-al-qadhi
Location
Turkey · Lisbon from Sep 2026