About
Creating Jerenyon.
Geospatial expertise meets Generative AI: how & why I built Jerenyon.
The Story of Jerenyon
Jerenyon: Bridging Generative AI, Automation, and Geospatial Intelligence
Jerenyon is a platform dedicated to web development and automation — it is a platform dedicated to integrating Generative AI, Automation, and Geospatial Intelligence. With a vision to simplify complex workflows, Jerenyon delivers AI-powered automation systems and geospatial solutions that transform data into actionable insights and enhance decision-making.
Specializing in AI-augmented automation and spatial data processing, Jerenyon builds intelligent tools, adaptable workflows, and scalable applications. From LLM-powered document processing to AI-driven data analysis and geospatial automation, Jerenyon provides tailored solutions designed to streamline operations and drive innovation.
Beyond delivering technical solutions, Jerenyon fosters knowledge-sharing and community. Through articles, tutorials, and project showcases, it offers practical insights into AI-enhanced automation, Python backend development, Next.js frontends, and geospatial intelligence — helping others explore the potential of these technologies.
With a commitment to continuous learning and cutting-edge research, Jerenyon empowers businesses to harness AI and automation, staying ahead in an AI-driven world. Whether you seek to integrate Generative AI, automate complex workflows, or enhance geospatial capabilities, Jerenyon is your partner for transformative digital solutions.
The Mind Behind Jerenyon
Introducing Jeremie, the Founder of Jerenyon
I am an Software Engineer, specialized in Generative AI and Geospatial Intelligence, with a passion for building AI-driven automation systems and geospatial solutions. My journey began with a Master in Geography, evolving into expertise in backend development, automation, and AI integration. I focus on transforming complex data into accessible, decision-ready insights through intelligent, adaptable systems.
With extensive experience in designing scalable applications and leading AI R&D initiatives, I specialize in LLMs, RAG architectures, and AI agent workflows. My approach emphasizes practical applications of AI — building tools that enhance automation and streamline business processes, rather than focusing on foundational model development.
Jerenyon is my platform to merge Generative AI, Automation, and Geospatial Intelligence into impactful, real-world solutions. It also serves as a knowledge hub, where I share hands-on insights into AI-powered workflows, Python development, Next.js applications, and spatial data processing. Through this venture, my goal is to simplify complexity and deliver innovative, AI-enhanced digital solutions for developers and businesses alike.
Data Structures and Algorithms
UC San Diego, Coursera
Completed Data Structures and Algorithms Specialization, gaining knowledge about algorithmic techniques like greedy algorithms, binary search, and dynamic programming, plus implementing stacks, queues, trees, and graphs.
IBM Generative AI Engineering
IBM, Coursera
Completed IBM Generative AI Engineering Professional Certificate, gaining hands-on expertise in LLM architectures, fine-tuning, RAG workflows, AI agents, and deploying generative AI applications.
Vector Database Fundamentals
IBM, Coursera
Completed IBM Vector Database Fundamentals Specialization, gaining hands-on experience in vector search, embeddings, ChromaDB, PostgreSQL, MongoDB, and AI-powered recommendation systems.
Microsoft Copilot for Software Development
Microsoft, Coursera
Completed Microsoft Copilot for Software Development Specialization, mastering AI-driven coding, code reviews, documentation, and project planning with GitHub Copilot.
Founder & Full-Stack Software Engineer
JerenyonRemote
Building AI-powered automation tools that bridge full-stack development and geospatial expertise to deliver scalable web applications and practical innovation.
TensorFlow Developer Specialization
DeepLearning.AI, Coursera
Completed TensorFlow Developer Professional Certificate, mastering neural network training, image recognition with convolutions, and NLP. Gained practical skills in building AI solutions using TensorFlow.
Deep Learning Specialization
DeepLearning.AI, Coursera
Completed Deep Learning Specialization, mastering neural networks, including CNNs, RNNs, LSTMs, and Transformers. Gained expertise in applying these models to real-world tasks like NLP, speech recognition, and more using Python and TensorFlow.
Machine Learning Specialization
Stanford University, Coursera
Completed Machine Learning Specialization, mastering key techniques like supervised and unsupervised learning, recommender systems, and reinforcement learning. Gained practical skills to apply these methods to real-world challenges.
Full-Stack Software Engineer | Continuous Improvement Advisor
TeleconRemote
Driving innovation and automation through AI-driven solutions, full-stack development, and geospatial expertise to enhance operational efficiency and data accessibility.
Co-Founder & Full-Stack Software Engineer
NJAE PlumeRemote
Leading technical strategy and full-stack development for a creative e-commerce platform.
GIS Automation Engineer | Fiber Network Designer
TeleconMontréal, QC
Integrated fiber network design with Python automation and GIS technology to drive digital transformation.
Master of Science in Geography (MSc)
University of Caen NormandyCaen, France
Advanced expertise in physical geography, GIS intelligence, and spatial analysis with a focus on hydrogeomorphology, climatology, and coastal risk management in littoral environments.
Bachelor's Degree in Geography
University of Caen NormandyCaen, France
Comprehensive education in physical geography, GIS, and spatial analysis, with a focus on systemic approaches to natural phenomena and littoral studies.