── Portfolio Boot Sequence ──────────────────────
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hatem@portfolio: ~ — bash — 100×32
Last login: Sun Jun 01 2026 09:00:00 on ttys001
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hatem@portfolio:~$  whoami
HATEM AL-SELWI
hatem@portfolio:~$  echo $ROLE
hatem@portfolio:~$  cat tagline.txt
Building intelligent systems at the intersection of research and engineering.
hatem@portfolio:~$  uname -a
KL-Malaysia x86_64 :: TypeScript · Python · C# · C/C++ · Node.js :: React · Next.js · Angular · NestJS :: Azure · Kubernetes · Docker :: TensorFlow · PyTorch · OpenCV
hatem@portfolio:~$
scroll
hatem@portfolio:~$  cat about.txt

"The mind is not a vessel to be filled but a fire to be kindled."

I'm Hatem Al-Selwi, a Software Engineer III and AI researcher based in Kuala Lumpur, Malaysia. Over 6+ years I've operated at the crossroads of enterprise software engineering and applied deep learning research.

At UST Global Malaysia, I build full-stack enterprise applications for Fortune 500 companies using React, TypeScript, C#, NestJS, and PostgreSQL on Azure and Kubernetes — while mentoring engineers and driving CI/CD standards.

In parallel, I research intelligent transportation systems at Multimedia University, with a thesis on deep learning-based road traffic prediction. I've authored 10 peer-reviewed publications across journals and conferences. Curiosity is the constant.

# stats.json
years_experience
6+
publications
0
awards_honors
0
enterprise_clients
Fortune 500
location
KL, Malaysia
status
● available
hatem@portfolio:~$  git log --work --pretty=oneline
a3f1c9e UST Malaysia — Developer III, Software Engineering Sep 2022 → now
Full-stack enterprise applications for Fortune 500 clients. Managed stakeholder engagement, evaluated technical feasibility, resolved critical production incidents, and provided technical mentorship on system architecture and code quality best practices.
ReactTypeScript C#NestJS PostgreSQLAzure KubernetesDocker
7d2b84a Multimedia University — Research Helper Mar–Dec 2025
Applied ML/DL research contributing to peer-reviewed publications in traffic forecasting. LSTM time-series models, EDA pipelines for large-scale datasets.
Deep LearningLSTM Traffic ForecastingPythonEDA
c9e4f12 Nexuses — Front-End Software Engineer Feb–Aug 2022
Built front-end for a health tech app. Responsive UIs in ReactJS/Next.js, unit and e2e testing with Cypress and Jest.
ReactJSNext.js CypressJest
88a1b3c Multimedia University — Research Assistant Oct 2021–Jul 2022
Literature reviews, data collection, built end-to-end deep learning system with ReactJS interactive dashboard.
Deep LearningReactJSData Analysis
5f0d91e LED VISION SDN. BHD — Web App Developer (Intern → Part-Time) Jul 2019–Feb 2021
AdvanLuomus (Intern): Smart home IoT dashboards — energy visualisation, dynamic device bindings, real-time data flows.
AdvanCTi (Part-Time): Smart city platform — street lighting, asset management, back-end services and REST APIs for IoT streetlight infrastructure.
AngularNode.js MQTTMongoDB REST APIIoT
hatem@portfolio:~$  ls -la ./projects/
~/projects/advancti
AdvanCTi
Smart city platform focused on street lighting and asset management. Back-end services, RESTful APIs, and real-time monitoring dashboards for IoT-enabled streetlight infrastructure.
Node.jsREST APIIoTSmart Cities
~/projects/advanluomus
AdvanLuomus
Smart home IoT automation system — interactive dashboards for energy visualisation, dynamic device bindings, and real-time data flow optimisation for home automation.
AngularNode.jsMQTTMongoDBIoT
~/projects/nexuses-health
Nexuses Health App
Health tech platform empowering patients to organise and control their medical records. Responsive UI with seamless UX, unit and e2e tested for production stability.
ReactJSNext.jsCypressJestHealth Tech
~/projects/traffic-gcn-gru
Traffic Forecasting System
Hybrid spatiotemporal graph convolutional network with GRU for urban traffic prediction. Weather-aware variant extends the model with environmental feature fusion.
GCNGRULSTMPythonResearch
~/projects/mask-detection-dashboard
Face Mask Detection Dashboard
Real-time face mask detection and energy monitoring using YOLOv5 on NVIDIA Jetson Nano. Includes live counting, alerting, and an interactive analytics dashboard.
YOLOv5Computer VisionJetson NanoPython
hatem@portfolio:~$  ./skills.sh --verbose --all
Python90%
TypeScript / JavaScript95%
C#85%
C / C++72%
Node.js88%
React / React Native92%
Next.js90%
Angular80%
Redux82%
HTML5 / CSS3 / SASS90%
NestJS / Express85%
.NET Core83%
PostgreSQL / MongoDB82%
REST API / GraphQL88%
Microservices / Event-Driven80%
Azure88%
Kubernetes82%
Docker86%
Linux / CI/CD83%
Nvidia Jetson / Arduino / RPi75%
TensorFlow / PyTorch88%
OpenCV / Computer Vision85%
Graph Neural Networks (GCN)85%
LSTM / Time-Series Forecasting88%
YOLO / Object Detection83%
hatem@portfolio:~$  ls -la ./publications/
// journals/
permissionsyearvenuetitle
-rw-r--r-- 2023 IJTech Attention-Based Spatial-Temporal GCN with Kalman Filter for Traffic Flow Prediction
-rw-r--r-- 2023 IAES Face Mask Detection and Counting Using YOLO with Jetson Nano
-rw-r--r-- 2023 MECON 2023 Facial Mask Detection and Energy Monitoring Dashboard Using YOLOv5 and Jetson Nano
-rw-r--r-- 2022 IAES The Impact of Weather Data on Traffic Flow Prediction Models
-rw-r--r-- 2022 ICDI 2022 Neural Networks-Based Prayer Monitoring and Recognition Framework
-rw-r--r-- 2020 IRECAP Machine Learning-Based Node Selection for Cooperative NOMA Under Physical Layer Security
// conferences/
-rw-r--r-- 2025 MECON 2025 Weather-Aware Spatial-Temporal GCN for Traffic Forecasting
-rw-r--r-- 2025 MECON 2025 Hybrid Spatiotemporal GCN Enhanced with GRU for Traffic Forecasting
-rw-r--r-- 2021 CSPA Reinforcement Learning for Robotic Applications with Vision Feedback
-rw-r--r-- 2020 ICCIT Cooperative Relay and Jammer Node Selection Using Feed-Forward Neural Networks
total 10  ·  6 journals  ·  4 conferences  ·  3 domains
hatem@portfolio:~$  cat ./achievements.log
★★★ Gold Medal — RICES 2021 // Research Innovation Commercialisation & Entrepreneurship Showcase · Melaka, 2021
★★★ 1st Place — ROBOCON Challenge // UTeM Robot Contest · Melaka, 2018
★★★ 1st Place — Malaysia AUV Challenge // MAUVC · Melaka, 2018
★★★ 1st Place — CREST Innovation Challenge // OSRAM Track · Penang, 2018
★★ Short-listed — Singapore AUV Challenge 2019 // SAUVC · International · Singapore, 2019
hatem@portfolio:~$  cat certifications.log
[✓] DeepLearning.AI TensorFlow Developer Professional Certificate Coursera · 2020
[✓] Deep Learning Specialization Coursera · 2020
[✓] Fundamentals of Deep Learning for Computer Vision NVIDIA · 2020
[✓] Google IT Automation Professional Certificate Coursera · 2020
[✓] Intel TensorFlow 501 Training UTeM & Intel AI · 2019
[✓] Microservices with Node.js and React Udemy · 2024
[✓] Design Patterns in JavaScript Udemy · 2025
[✓] Build an App with ASP.NET Core and Angular from Scratch Udemy · 2025
[✓] Complete Next.js Developer — Zero to Mastery Udemy · 2022
[✓] Complete React Developer (Redux, Hooks, GraphQL) Udemy · 2021
[✓] The Complete SQL Bootcamp: Zero to Hero Udemy · 2023
hatem@portfolio:~$  cat education.md
Master's · By Research
Engineering Science
Artificial Intelligence & Intelligent Transportation Systems
Multimedia University (MMU)
April 2021 → October 2025
Thesis: Deep Learning-Based Road Traffic Prediction for Intelligent Transportation Systems
Bachelor's · Second Class Upper · With Honours
Mechatronics Engineering
Mechatronics, Robotics & Automation Engineering
Universiti Teknikal Malaysia Melaka (UTeM)
August 2016 → August 2020
FYP: Reinforcement Learning for Robotic Applications with Vision Feedback (HER algorithm)
hatem@portfolio:~$  ./contact.sh --interactive

// open to new opportunities

Whether you're working on an ambitious AI project, need a senior full-stack engineer, or want to collaborate on research — reach out. I respond fast.