Imad Saddik

Software engineer and astronomer based in Morocco 🇲🇦

Engineering experience

Full Stack Developer @ AGC Glass Europe (Jun 2024 - Present)

Developing and enhancing an internal AI-driven platform for employees.

Engineered AI-driven features using LangChain to integrate with Elasticsearch and LLM APIs (e.g., OpenAI, Claude), delivering capabilities such as advanced RAG for document analysis, deep web research, and image generation for AGC employees.
Architected and built ReAct agents with LangGraph to automate IT support and enhance information retrieval, integrating diverse systems like iTop ticketing, Viva Engage, and multiple vectorstores, thereby centralizing key resources for employees and the IT team.
Developed and maintained the robust Python backend for the AI-driven internal application using FastAPI, ensuring efficient API communication for all AI features and agentic systems.
Implemented comprehensive logging and monitoring for AI systems using Elasticsearch to ensure system observability, track performance, and facilitate troubleshooting.
Technologies used: Python, FastAPI, LangChain, LangGraph, ReAct, RAG, LLM APIs (OpenAI, Claude), Elasticsearch, Redis, React.js, TypeScript, Docker, Git.

AI Engineer @ AI-Inside Private (Jun 2024 - May 2025)

Delivered AI and full-stack solutions for various client projects.

Developed and deployed multiple full-stack web applications utilizing Vue.js for responsive frontends and Python with FastAPI for backend APIs.
Developed and trained Deep Learning models using PyTorch for automated visual classification of industrial parts, improving quality control processes.
Integrated Pinia for state management in Vue.js applications and utilized Redis for caching.
Processed and analyzed geospatial data for mapping applications.
Designed and built dashboards using Power BI.
Technologies used: Python, FastAPI, PyTorch, Vue.js, Pinia, Redis, PostgreSQL, Power BI, Docker.

Researcher (End-of-Studies Internship) @ CESI Lineact (Feb 2024 - Jul 2024)

Contributed to a project on innovative methods for energetically and economically evaluating buildings for urban decarbonization.

Integrated artificial intelligence into decarbonization strategies, focusing on deep learning and techno-economic models to optimize photovoltaic integration in building designs.
Conducted research and analysis on ten buildings between Strasbourg and Paris campuses.
Technologies used: Python, Deep Learning, Machine Learning, Data Analysis, Research.

For a complete overview of my open source contributions, check this GitHub search query. Below is the same information organized by year.

First Best Paper Award @ ICRERA 2024 — 13th International Conference on Renewable Energy Research and Applications Awarded in November 2024

Read the paper on IEEE Xplore
Published an article in the Solar Energy Journal (Vol. 297, 2025, 113567).

Title: Lightweight Deep Learning for Photovoltaic Energy Prediction : Optimizing Decarbonization in Winter Houses. Read the article on ScienceDirect
Built My Universe Hub – A personal website reimagining NASA’s APOD with a modern and interactive UI using Vue.js and Django.
Created a course on training LLMs from scratch on FreeCodeCamp
Covers the full lifecycle of LLMs: data encoding, tokenizers, pretraining, and fine-tuning. Watch the course
Created a course on the evolution of the Transformer architecture on FreeCodeCamp
Covers the different attention methods, positional encoding methods, activation functions, and more. Watch the course
Created a course on Elasticsearch on FreeCodeCamp
Teaches core concepts, indexing, querying, and practical integrations. Watch the course
Created an OSRM (Open Source Routing Machine) course on 3CodeCamp
Intro to OSRM architecture, routing basics, and building navigation apps. Watch the course

Master’s Degree in Industrial Engineering – AI & Data Science (2021 – 2024)
ENSAM Meknès – École Nationale Supérieure d’Arts et Métiers

Associate Degree in Electrical Engineering (2019 – 2021)
ESTM Meknès – École Supérieure de Technologie de Meknès

Baccalaureate in Electrical Science and Technology (2016 – 2019)
Lycée Moulay Ismail, Meknès

🇲🇦 Arabic - Native
🇺🇸 English
🇫🇷 French