About

Creating Jerenyon Dev.

Geospatial expertise meets Generative AI: how & why I built Jerenyon Dev.

The Story of Jerenyon Dev

section image jerenyon-icon

Jerenyon Dev: Bridging Generative AI, Automation, and Geospatial Intelligence

Jerenyon Dev is more than just a web development and automation service — it is a platform dedicated to integrating Generative AI, Automation, and Geospatial Intelligence. With a vision to simplify complex workflows, Jerenyon Dev 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 Dev builds intelligent tools, adaptable workflows, and scalable applications. From LLM-powered document processing to AI-driven data analysis and geospatial automation, Jerenyon Dev provides tailored solutions designed to streamline operations and drive innovation.

Beyond delivering technical solutions, Jerenyon Dev 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 Dev 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 Dev is your partner for transformative digital solutions.

The Mind Behind Jerenyon Dev

section image jeremie-icon

Introducing Jeremie, the Founder of Jerenyon Dev

I am an Automation Systems 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 Dev 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.

Feb 2025

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.

Data Structures
Algorithms
Greedy Algorithms
Binary Search
Dynamic Programming
Recursion
Stacks
Queues
Trees
Graphs
Hash Tables
Linked Lists
Heaps
Sorting
Searching
Graph Algorithms
Tree Algorithms
Problem Solving
Big O Notation
Algorithm Analysis
Network Analysis
Python Programming
Algorithmic Thinking
Computational Complexity
Divide and Conquer
Jan 2025

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.

Generative AI
Large Language Models
LLMs
Retrieval-Augmented Generation
LangChain
Hugging Face
PyTorch
Keras
Fine-Tuning
AI Agents
TensorFlow
OpenAI
Machine Learning
Deep Learning
Prompt Engineering
Neural Networks
BERT
GPT
LLaMA
Tokenization
Transformer Models
Model Optimization
AI Model Deployment
NLP Applications
Text Generation
AI Workflows
Ethical AI
AI-Powered Automation
Jan 2025

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.

Vector Databases
ChromaDB
PostgreSQL
MongoDB
Apache Cassandra
Vector Search
Embeddings
Similarity Search
Recommendation Systems
RAG
LangChain
AI-Powered Applications
Database Indexing
Hugging Face NLP
Semantic Matching
Data Performance
Vector Storage & Retrieval
Jan 2025

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.

GitHub Copilot
AI-Powered Development
Code Generation
Code Analysis
AI Code Review
Project Management
Development Planning
VS Code
Generative AI
AI Tools in Business
Software Engineering
AI Code Documentation
Automation in Development
Sept 2024 - Present

Founder & Full-Stack Engineer

Jerenyon DevRemote

Founder and visionary behind Jerenyon Dev, delivering custom web development, automation, and AI-driven solutions.

Python
React
Next.js
OpenAI
Swift
SwiftUI
Vercel
Resend
Automation
Postgres
Prisma
GitHub
Copilot
AI
Web
Full-stack
Jan 2023

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.

RNNs
Computer Vision
Convolutional Neural Network
Forecasting
Transfer Learning
Python
Tokenization
Dropouts
Natural Language Processing
TensorFlow
Augmentation
Dec 2022

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.

Recurrent Neural Network
Tensorflow
Computer Vision
Network Architecture
Python
Convolutional Neural Network
Artificial Neural Network
Transformers
Nov 2022

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.

Machine Learning
Machine Learning Algorithms
Applied Machine Learning
Algorithms
Deep Learning
Artificial Neural Networks
Human Learning
Python
Regression
Critical Thinking
Network Model
June 2022 - Present

Full-Stack Automation Engineer & Continuous Improvement Advisor

TeleconRemote

Driving innovation and operational efficiency through Python automation and LLMs, RAG workflows, GIS-driven solutions, and full-stack development for scalable AI applications.

Python
Django
React
Next.js
TypeScript
Tailwind
API
OpenAI
AI
Langchain
Postgres
Prisma
Docker
Azure
GitHub
Copilot
CI/CD
Cloud
GIS
Leadership
Automation
Sept 2021 - Present

Co-Founder & Full-Stack Engineer

NJAE PlumeRemote

Co-founder leading technical strategy and full-stack development for our creative e-commerce platform.

Python
React
Next.js
GitHub
Swift
SwiftUI
Vercel
Resend
Stripe
E-commerce
Full-stack Development
Business Strategy
Web Architecture
July 2018 - June 2022

Fiber Network Designer | GIS Automation Engineer

TeleconMontréal, QC

Enhanced fiber network design workflows through Python automation and GIS technology, leading to the development of a powerful Django-based platform.

Python
Django
Bootstrap
Automation
Docker
Azure
GitHub
GIS
PostGIS
Postgres
AutoCAD
Network Design
Process Optimization
Data Analysis
2014 - 2016

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.

Python
Postgres
PostGIS
ArcGIS
QGIS
Physical Geography
Natural Risk Assessment
Geospatial Intelligence
Hydrogeomorphology
Climatology
Coastal Risk Management
Environmental Modeling
Coastal Erosion
Tidal Processes
2011 - 2014

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.

Postgres
ArcGIS
QGIS
GIS
Introduction to Geomatics
Physical Geography
Geographic Fundamentals
Spatial Analysis
Littoral Studies
Data Visualization
Field Surveys
Environmental Analysis