public class AntoineMoghaddar
implements AISpecialist,
BackendEngineer,
CreativeTechnologist {
public static final TECH_STACK
// AI_AND_DATA_STACK
TensorFlow
PyTorch
Scikit-learn
Pandas
NumPy
Hugging Face
Jupyter
Power BI
Tableau
PostgreSQL
Firebase
Supabase
// SOFTWARE_AND_ENGINEERING_STACK
FastAPI
Spring Boot
REST APIs
WebSockets
RabbitMQ
Redis
Azure AD
Azure Cosmos DB
MapStruct
JSON Schema
Git
public static class EXPERIENCE
Deloitte2025 -- 2026
AI Specialist & Backend Engineer
Backend engineering and AI-oriented development within customs & trade platforms. Enterprise backend logic, MapStruct mappings, JSON Schema validation, Azure AD / Cosmos DB integrations, and production-quality delivery in a Java / Spring Boot environment.
POD1UM AI2024 -- Present
Co-Founder & CTO
Co-founded an AI-driven coaching and performance-analysis platform for sim racing. Full system architecture: live telemetry ingestion, data pipelines, ML/LLM feedback engine, real-time WebSocket APIs, backend services, and product UX.
Thales2021 -- 2024
AI Specialist / Data Scientist
AI and data-science assignments in a high-security R&D environment. Deliverables are NDA-protected. Domain involved advanced ML, sensor data, and security-critical applications.
University of Twente & University of Amsterdam2022 -- 2025
Teaching Assistant / Co-Lecturer
Co-lectured Smart Environments, Data Science & Management, and Data Visualization. Guided students in analytical thinking, dashboarding, and data storytelling with Tableau and Power BI.
public static final SKILL_RADAR
public static class PROJECTS
// SimRacing_Coaching_System
POD1UM: live telemetry ingested from sim-racing sessions, parsed through ML pipelines and LLM-based reasoning to generate real-time, context-sensitive driver coaching. Built end-to-end.
// ECG_Adversarial_Robustness
PGD-based adversarial attacks on deep-learning ECG classifiers for arrhythmia detection. Evaluated adversarial training as a robustness defence.
// AF_Detection -- R-R Interval ML
ML classifiers for automatic detection of 30-second atrial fibrillation episodes using ECG-derived R-R interval irregularity features.
// Pervasive_Computing_Concepts
Smart sensing prototypes: train crowd-density control, seat-based energy harvesting, motorbike helmets with integrated sensor arrays.
} // end class AntoineMoghaddar
/** Earlier experience, research focus, publication, and awards. */
public class AntoineMoghaddar_Extended {
public static class EARLIER_EXPERIENCE
Shotmaniacs2013 -- Present
Founder / Creative Director
Built and led a premium media production brand delivering high-end visual content for festivals, artists, brands, and events.
The Social Daddies2024 -- Present
Founder / Agency Owner
Artist-focused agency in the electronic music space. Hard Techno, Hardstyle, and Drum and Bass.
Movella / Xsens2019
Software / Hardware Engineer
Motion-tracking products including MVN Awinda and DOT. Software + hardware in a wearable sensor context.
Sigmax2017
Software / DevOps Engineer
CityPermit and CityControl applications. Backend logic in C++ and Java.
public static class RESEARCH_AND_ACADEMIC_WORK
// 01 --- AI-Driven Coaching in Sim Racing
Systematic literature review and applied research on ML-based coaching for sim racing. Directly underpins the POD1UM platform.
// 02 --- Adversarial Robustness of ECG Classifiers
PGD-based adversarial attacks on deep-learning ECG models. Evaluated adversarial training as a robustness strategy.
// 03 --- Atrial Fibrillation Detection
ML classifiers on ECG-derived R-R interval features for automatic AF episode detection.
// 04 --- Pervasive Computing
Smart sensing systems: crowd-density control, energy harvesting, wearable/earable concepts.
public static final PUBLICATIONS
// Publication_01
String[] authors = { "Moghaddar, A. A.", "Bukhsh, F. A.", "Bruinsma, G." };
int year = 2022;
String title = "Performance Enhancement of Formula One Drivers with the Use of Group Driven Learning";
String venue = "SIMULTECH 2022";
String url = "https://doi.org/10.5220/0011274400003274";
String[] authors = { "Moghaddar, A. A.", "Bukhsh, F. A.", "Bruinsma, G." };
int year = 2022;
String title = "Performance Enhancement of Formula One Drivers with the Use of Group Driven Learning";
String venue = "SIMULTECH 2022";
String url = "https://doi.org/10.5220/0011274400003274";
public static class AWARDS_AND_RECOGNITION
String Award = "The Next Web, T500";
String Description = "Most ambitious youngster of the Netherlands";
int[] Years = { 2018, 2019, 2020, 2021, 2022 };
String Description = "Most ambitious youngster of the Netherlands";
int[] Years = { 2018, 2019, 2020, 2021, 2022 };
} // end class AntoineMoghaddar_Extended
* AI specialist, software engineer, and creative builder with a strong foundation
* in artificial intelligence, backend engineering, data science, and visual production.
* Operates at the intersection of technology, design, and entrepreneurship,
* building intelligent systems, data-driven products, and high-end creative experiences.
*
* Comfortable at technical depth and creative direction. Thrives where strategy,
* innovation, execution, and ownership converge.
*/