Bashar Hlail

BASHAR HLAIL

Robotics Software Developer | AI & Automation
Phone: +962 77 059 2001 | +962 79 296 4151 | Email: bashar.hlail.1@gmail.com | LinkedIn: https://www.linkedin.com/in/bashar-hlail-340473282 | GitHub: https://github.com/BasharAmeen

Professional Summary

I develop high-performance, reliable systems that integrate robotics, automation, and data-driven operations. As a dedicated Linux enthusiast using it daily across desktops, servers, and mobile devices, I bring solid technical expertise to every project. My background in Machine Learning, Reinforcement Learning, and Robotics enables me to deliver robust and efficient solutions.

Professional Experience

Technical Trainee — Royal Scientific Society (RSS)
Dates: Mar 3, 2025 – May 15, 2025
Supervisor: Dr. Ahmad Al-Oqaily — Ahmad.aloqaily@nicst.gov.jo
  • Contributed to large-scale initiatives including the Jordan Science, Technology and Innovation Platform (JSTIP).
  • Outlined system architectures and primary technical guidelines for new platform components.
  • Worked across cloud and on-edge deployments, server configuration, and GPU server enablement.
  • Coordinated with Ministry of Digital Economy and Entrepreneurship (MoDEE) stakeholders.
Technologies: Cloud, Edge, Linux servers, Server Configuration, GPU Servers
Architecture Cloud Edge Servers GPU Collaboration
Software Engineering Trainee — MB Group
Dates: Jan 19, 2025 – Feb 21, 2025
Supervisor: Dr. Mamdouh Barakat
  • Completed rotational training across software engineering, robotics, and general IT.
  • Practiced professional communication, teamwork, and stakeholder interaction in a British corporate environment.
  • Supported prototyping and testing activities alongside the engineering team.
Technologies: Golang, HTMX, Bash, Linux, System Architecture
Software Engineering Robotics IT Professional Communication Teamwork

Education

Bachelor of Science in Data Science & Artificial Intelligence — 2021 – 2025
Hashemite University (HU)
  • Explored robotics theory, kinematics, and data science.
  • Learned C/C++, Python, and frameworks like TensorFlow and PyTorch.
  • Worked on projects involving real-time sensor data aggregation, mobile robotics, computer vision, and automation.
  • Established a strong foundation in control systems, Deep Learning, and automation technology.
Focus Areas: Mobile Robotics, Robot Programming, Machine Learning, Computer Vision, Deep Learning, NLP, Cloud Computing, and Big Data.

Professional Certifications

Fundamentals of Accelerated Computing with CUDA C/C++
NVIDIA Deep Learning Institute
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Accelerating CUDA C++ Applications with Multiple GPUs
NVIDIA Deep Learning Institute
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Fundamentals of Deep Learning
NVIDIA Deep Learning Institute
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The Complete Flutter Development Guide
Udemy
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Flutter Advanced Course - Clean Architecture With MVVM
Udemy
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Python for Machine Learning & Data Science Masterclass
Udemy
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Startup Business Course
Jusoor's Incubator
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Robotics Projects

Autonomous Drone Swarm Control System
  • Engineered a sophisticated multi-drone control system using Ardupilot SITL for autonomous formation flight and coordinated operations.
  • Integrated advanced algorithms for swarm behavior, collision avoidance, and mission planning.
  • Built a custom simulation environment using Gazebo.
  • Collaborated with Emad Makhlouf (HU) and Maram Almasarweh (HU).
Supervisor: Dr. Mo'taz Al-Hami — +962 79 093 0707
ROS 2 MAVLink ArduPilot SITL URDF Modeling Reinforcement Learning Gazebo Simulation C++ Python
Advanced Hexapod Robot Platform
  • Engineered a six-legged autonomous robot with sophisticated control systems and sensor fusion.
  • Implemented real-time inverse kinematics and dynamic gait generation.
  • Kalman Filter for sensor data smoothing.
  • Collaborated with Emad Makhlouf (HU) and Sari Shayeb (HU).
Supervisor: Dr. Eman Omar — +962 77 105 0610
Raspberry Pi Real-time Systems Sensor Fusion ROS 2 Navigation C++ Kalman Filter URDF Modeling Blender Robot Motion Planning

Data Science & AI Projects

Intelligent Logical Fallacies Detection System
  • Trained a deep learning model to automatically identify logical fallacies in text using state-of-the-art NLP techniques.
  • Leveraged state-of-the-art NLP techniques and experimented with TensorFlow and PyTorch for model training and evaluation.
NLP NLTK TensorFlow

Software Engineering Projects

  • Architected and developed a comprehensive water delivery management platform with real-time tracking and automated dispatch.
  • Enabled customer orders via mobile apps on Google Play and Apple Store.
  • Instituted criteria-based assignment of orders to drivers.
  • Provided order updates, driver tracking, and in-app communication.
  • Integrated a dedicated dashboard to manage all orders and operations.
Flutter Firebase Maps Clean Architecture
Intelligent Chess Platform
  • Developed a comprehensive full-stack multiplayer chess application offering real-time gameplay over the Internet.
  • Optimized state management and low-latency connections to enhance user experience.
Flutter State Management AI Algorithms

Skills & Technical Expertise

Robotics & Control
ROS 2 Control Systems Sensor Integration Path Planning ArduPilot SITL URDF Modeling Robot Kinematics
Programming & Software
C/C++ Python Flutter/Dart CUDA Git Golang HTMX Bash Virtualization Linux
Data Science & AI
Machine Learning Deep Learning NLP TensorFlow PyTorch Reinforcement Learning Hadoop Spark Kafka Hive Airflow
Technical Keywords: C, C++, Python, Dart, Flutter, CUDA, Git, Golang, HTMX, Bash, Linux, ROS 2, Control Systems, Sensor Integration, Path Planning, ArduPilot SITL, URDF, Kinematics, Machine Learning, Deep Learning, NLP, TensorFlow, PyTorch, Reinforcement Learning, Hadoop, Spark, Kafka, Hive, Airflow, Cloud Computing, Edge Computing, GPU Computing, Server Configuration, System Architecture, Software Engineering, Robotics, Artificial Intelligence, Data Science