About Julien
English
Fluent
French
Native or bilingual
Experience
- DeepAgenticAIApplied AI EngineerSOFTWARE PUBLISHINGApril 2025 - Today (1 year and 2 months)Avignon, FranceAI Engineer/Developer specialized in designing and deploying AI agents in production. DeepAgenticAI consolidates my AI activities.I have developed:• whatsappia.co (2026): a LangGraph agent + monitoring dashboard (live demo at whatsappia.co)• shootingpro.co (2025): an AI SaaS for ultra-realistic professional portraits using generative AI Flux1/LoRA, FastAPI, Celery• RAG, MM-RAG POCs and front/back applications based on fine-tuned models: pipelines measured on nDCG/Recall/MRR +70-80%, computer vision fine-tunings with low FP on ResNet, DenseNet, EfficientNet models (for AI image fake detectors, pneumonias)AI demos available atPassed AI certifications in 2025 on Coursera:• IBM AI Engineering Professional Certificate (RAG, agents, DPO/PPO/LoRA/QLoRA/PEFT)• DeepLearning.AI PyTorch Specialization (Computer Vision, NLP, ONNX, MLflow)
- Julien Lucas FormationsDeveloper TrainerEDUCATION AND E-LEARNINGDecember 2023 - Today (2 years and 6 months)I create video courses. The first one released is on front-end clean architecture to learn how to develop high-quality applications faster and simpler: formation-cleanarchitecture.com
- SmartchLead Front-End DeveloperHUMAN RESOURCESNovember 2022 - September 2023 (10 months)Paris, FranceTook over the e-learning platform, offering a catalog of online courses.Smartch is an early-stage growing startup that assists companies, large groups, ETIs, SMEs, and startups in knowledge transfer.• Creation of a demo app (without payment system and profiles)• Transfer of best practices for developers• Restructuring into Clean Architecture• Business logic via Redux (event-driven programming)• Connections to GraphQL API• Development of new features• Continuous integration (Gitlab)• Stack: React, Redux Toolkit, RTKQuery, GraphQL, TypeScript, Chakra UI
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Education
- DeepLearning.IA PyTorch DeepLearning SpecializationCoursera2026Computer vision, et NLP. Architectures avancées (CNNs, ResNet, DenseNet, Transformers), fine-tunings, optimisation de modèles (pruning, quantization), PyTorch Lightning/Optuna, déploiement ONNX/MLflow.
- IBM RAG & AI Engineering SpecializationCoursera2025Applications IA-Agents IA, RAG/MM-RAG vision/RAG Agentique, NLP. Et fine-tunings DPO/PPO/LoRA/QLoRA/Instruction-tuning/PEFT
Certifications
- PyTorch for Deep LearningDeepLearning.AI2026
- RAG and Agentic AI for Generative AI ApplicationsIBM2025