Leandro Patrón

AI Engineer | Applied AI & Production ML Systems

I'm an AI Engineer with a Master's degree in Artificial Intelligence and a background that bridges electrical engineering, embedded systems, and modern machine learning. I don't just build models—I integrate them into real-world systems that work under actual constraints.

What I Do

I specialize in designing and deploying end-to-end AI solutions:

• LLM-based systems & AI Agents: Building RAG architectures with advanced retrieval strategies, reasoning chains, and fallback mechanisms. Designing intelligent agents that orchestrate tools and execute complex workflows

• Computer Vision: Developing CV solutions for object detection, image classification, and visual analysis—from training to production deployment

• Edge AI & IoT: Deploying models on resource-constrained embedded devices, optimizing inference for edge computing under latency and connectivity constraints

• Production ML: Taking models from experimentation to scalable production with monitoring, evaluation pipelines, and MLOps practices

• Backend Integration: Building REST APIs and microservices that integrate ML models into business systems

Technical Stack

Languages: Python, C, C++, R
ML/DL: PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers
LLM Tools: LangChain, LangGraph, vector databases (Pinecone, Chroma, FAISS, PGVector)
Cloud & DevOps: Docker, Azure, CI/CD pipelines
Frameworks: FastAPI, Django, Streamlit, Gradio
Embedded & IoT: RTOS, NB-IoT, GPS, Bluetooth, Wi-Fi

Background

My career started in electrical engineering, then moved into embedded systems and IoT. This taught me how to build systems that are practically deployable, not just theoretically sound.

As an independent AI Systems Engineer, I've worked on projects ranging from enterprise LLM solutions and intelligent agents to computer vision and edge AI deployments. Previously at Tracker Akytoi, I built data pipelines from IoT devices to cloud services and applied ML for system optimization.

What I'm Looking For

I'm interested in challenging AI problems with real-world impact—building intelligent systems at scale, optimizing ML workflows, or bridging research and production. I thrive in environments that value technical depth, collaboration, and continuous learning.

Remote work is natural for me—I'm self-driven and experienced collaborating with distributed teams.