Computer Engineering · AI Software Engineering · Doha
I build intelligent systems that connect software, hardware, and AI.
Computer Engineering undergraduate at Qatar University with hands-on experience integrating Angular, Spring Boot, FastAPI, and Gemini-based AI workflows, alongside research in computer vision, robotics, embedded systems, Linux networking, and data analysis.
01 / Profile
Engineering across the full system.
I work where AI services, web applications, sensors, embedded devices, and real-world constraints meet. My projects combine architecture, implementation, integration testing, debugging, data analysis, and clear technical communication.
I am a Computer Engineering undergraduate at Qatar University with hands-on experience developing AI-enabled web features and multidisciplinary engineering prototypes.
My experience spans Angular frontends, Spring Boot backends, FastAPI AI services, Gemini-based workflows, computer vision, ROS 2 robotics, embedded systems, Linux networking, and engineering data analysis. I am known for disciplined debugging, technical communication, and working effectively across frontend, backend, AI, and hardware components.
AI Software Engineering
Angular, Spring Boot, FastAPI, Gemini-based workflows, REST integration, testing, and end-to-end debugging.
Computer Vision & AI
Deep learning, PyTorch, OpenCV, multimodal RGB/thermal analysis, validation, and responsible reporting.
Robotics & Embedded Systems
ROS 2, SLAM, navigation, ESP32-CAM, Raspberry Pi, sensing, actuator control, and Linux systems.
Research & Communication
Research planning, KPI frameworks, data analysis, technical documentation, teamwork, and student support.
02 / Selected Work
Projects that show how I think and build.
Selected work from my CV and GitHub, presented through the engineering problem, my contribution, the technology stack, and the validation or integration work completed.
QadamCare AI
Experimental diabetic-foot screening research prototype using paired thermal and RGB imaging.
Prepared 415 paired thermal/RGB samples from 227 patient groups and implemented patient-level train, validation, and test splits to reduce data leakage while developing a multimodal analysis and reporting pipeline.
- Deep-learning workflows for RGB segmentation, thermal analysis, and paired multimodal fusion
- Patient-level data splitting, model evaluation, image-quality checks, and workflow-specific routing
- CUDA-enabled experimentation, OpenCV processing, local LLM/VLM documentation, and structured PDF reporting
- Explicitly presented as an experimental, non-diagnostic research prototype requiring clinical validation
Student Super App
realX
A Qatar-focused student discount and rewards application that helps students discover deals on food, shopping, and everyday purchases, redeem rewards, and earn cashback.
OOP Course Project
Hospital Management System
A layered Java system covering patients, staff, appointments, medical records, rooms, admissions, prescriptions, billing, inventory, an HTTP API, and a JavaScript dashboard.
Autonomous Navigation
ROS 2 SLAM & Robot Navigation
Simulated TurtleBot3 with virtual LiDAR, generated occupancy-grid maps using Cartographer, exported PGM/YAML/PBStream files, and explored localization, Navigation2, A* planning, and RViz sensor analysis.
Embedded Vision
ESP32-CAM Object Tracking
Designed a wireless pan-and-tilt prototype integrating real-time camera streaming, object-tracking logic, servo motion, lighting, power delivery, and mechanical-enclosure requirements.
Networking & Embedded Linux
Raspberry Pi Wireless Server
Configured a Raspberry Pi Zero W as a headless Python HTTP server and secure wireless access point with DHCP, local addressing, and SSH administration, then diagnosed service and interface conflicts.
Research Planning
AI-Based Road Monitoring Proposal
Developed a researcher-skills plan and impact/KPI framework covering publications, dataset release, capacity building, and technology transfer for an internal grant proposal.
03 / Experience
AI engineering, research, product development, and academic support.
AI Software Engineering Intern
CloudiaSys
Developing AI-powered parent-companion features for a web platform, including notification interpretation, teacher-exchange preparation, and multilingual French/English support. Connecting Angular components, Spring Boot services, FastAPI AI services, and Gemini-based workflows while debugging issues across the complete application flow.
Research Intern
Qatar University · College of Engineering
Supported system development, testing, data analysis, and multidisciplinary research activities under the supervision of Dr. Amith Khandakar.
Application Developer
realX.qa · Student Super App
Helped develop a Qatar-focused discount and rewards platform enabling students to discover food, shopping, and everyday deals, redeem rewards, and earn cashback.
Lab Assistant
Computer Engineering & Physics Departments · Qatar University
Supported Physics I instruction, laboratory setup, equipment and software readiness, student troubleshooting in programming and engineering exercises, and safe use of laboratory resources.
Peer Tutor — Appointed
Success Oasis Program · Qatar University
Selected to tutor Physics I–II, electric circuits, programming, discrete structures, and object-oriented programming.
Leadership & Community Service
Qatar University and Education City
Member and event organizer in the Artificial Intelligence Club and Mechatronics Club, active IEEE Student Branch member, Eureka workshop supervisor, university-event organizer, and volunteer with Carnegie Mellon University in Qatar, Qatar National Library, and Hamad Hospital.
04 / Technical Skills
Complete technical toolkit from my CV and GitHub work.
These technologies and methods come from coursework, internships, research, GitHub repositories, embedded prototypes, and academic support roles. They are grouped by how I apply them in systems.
Programming & Computer Science
AI, Vision & Data
Web, Mobile & Backend
Robotics & Embedded Systems
Linux, Networking & Developer Tools
Engineering, Research & Productivity
05 / Certifications
Verified learning beyond the classroom.
Certifications listed in my updated professional CV.
MATLAB Onramp
Foundational training in MATLAB syntax, arrays, data analysis, visualization, scripts, and engineering-oriented computational workflows.
Cybersecurity and Digital Risk Management
Training focused on cybersecurity fundamentals, digital risk awareness, responsible technology use, and risk-management concepts.
Problem Solving Using Python
Problem-solving practice using Python, algorithmic reasoning, structured logic, debugging, and implementation of programming solutions.
06 / Education & Honors
Qatar University
Bachelor of Science in Computer Engineering · Expected Spring 2028
Relevant coursework includes Computer Architecture, Data Structures, Digital Logic, Object-Oriented Programming, Discrete Structures, Electric Circuits, engineering mathematics, and physics.
07 / Why Collaborate
Different audiences. One engineering identity.
Research potential with practical implementation.
I bring multidisciplinary research experience, patient-level data-splitting discipline, technical documentation, project validation, and interests across responsible AI, computer vision, robotics, and embedded intelligence.
A fast learner already working across the AI stack.
I have practical experience connecting Angular, Spring Boot, FastAPI, and Gemini workflows while also building Java, Python, robotics, computer-vision, and embedded projects.
Integration thinking, debugging discipline, and ownership.
I trace problems across complete workflows, communicate technical findings clearly, test carefully, and consider the architecture, user experience, limitations, and maintainability of the complete system.
08 / Contact
Let’s build something meaningful.
I am interested in research collaborations, AI and software internships, robotics and embedded-systems opportunities, and ambitious engineering teams in Qatar and internationally.