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I specialize in building intelligent backend systems that bridge traditional software engineering with AI capabilities.

About me

I build scalable backend systems with NestJS, applying design patterns like SOLID, and Clean Architecture. I integrate AI technologies such as RAG pipelines and LLM agents into operational applications.

Development Approach

As a fullstack developer, I focus on object-oriented programming, Test-Driven Development (TDD), and Domain-Driven Design (DDD).

Independent Projects

I have built several independent projects involving AI integration, including chatbots, recommendation systems, and data analysis tools, proficient to deliver end-to-end solutions.

Technical Stack

NestJS for backend development, Python/PyTorch for machine learning, and LangChain, LangGraph, Mastra & Vercel AI SDK for AI integration.

My Expertise

AI & Machine Learning

LangChainLangChain
LangGraphLangGraph
PyTorchPyTorch
torchvisiontorchvision
OllamaOllama
Hugging FaceHugging Face
Vercel AI SDKVercel AI SDK
MastraMastra
Google GeminiGoogle Gemini
OpenAIOpenAI
DeepSeekDeepSeek
sentence-transformerssentence-transformers
Scikit-learnScikit-learn
TensorFlowTensorFlow
KerasKeras

Data Science & Analysis

NumPyNumPy
PandasPandas
MatplotlibMatplotlib
JupyterJupyter
StreamlitStreamlit

Backend Architecture

NestJSNestJS
ExpressExpress
Node.jsNode.js
PythonPython
FastAPIFastAPI
FlaskFlask

Data & Vector DBs

QdrantQdrant
ChromaDBChromaDB
PineconePinecone
PostgreSQLPostgreSQL
MongoDBMongoDB
MySQLMySQL
TypeORMTypeORM
PrismaPrisma

DevOps & Tools

DockerDocker
KubernetesKubernetes
GitGit
GitHubGitHub
PostmanPostman
JiraJira
ClickUpClickUp
SlackSlack

Payments

StripeStripe
Mercado PagoMercado Pago

Mobile

React NativeReact Native
ExpoExpo

Frontend Development

ReactReact
Next.jsNext.js
TypeScriptTypeScript
Tailwind CSSTailwind CSS

Core Competencies

Technical Expertise & Specializations

AI Engineering

RAG Systems & Semantic SearchAI Agents & Model Context ProtocolContext Engineering & Tool/Function Calling/UsingLLM Integration & Streaming ResponsesVector Embeddings & Similarity Search

Machine Learning

Deep Learning with PyTorch (CNNs, MLPs)Computer Vision & Image ClassificationClassical ML (KNN, Linear Regression, SVMs)Model Evaluation & Hyperparameter TuningTransfer Learning with Transformers

Data Science

Data Preprocessing & Feature EngineeringExploratory Data Analysis (EDA)Statistical Analysis & VisualizationAlgorithm Optimization & Complexity AnalysisEnd-to-End ML Pipelines

Backend Development

NestJS & Clean ArchitectureRESTful API Design & MicroservicesTypeORM & Database ModelingEvent-Driven ArchitectureSOLID Principles & Design Patterns

Education

2023 — 2025

Tecnicatura Superior en Desarrollo de Software Multiplataforma

Instituto Politécnico Formosa (IPF)

Intensive technical program focused on cross-platform software development. Covered software architecture, object-oriented design, database modeling, and full-stack development through hands-on projects. Built foundation in design patterns, clean code principles, and systematic problem-solving that I now apply to AI-driven backend systems.

2024 — 2025

Artificial Intelligence – Models and Applications

Instituto Politécnico Formosa (IPF)

Deep dive into modern AI engineering: Deep Learning with PyTorch (CNNs, MLPs, computer vision), Transformers and LLMs (BERT, GPT, LLaMa), RAG systems with LangChain, AI Agents with Model Context Protocol (MCP), and production deployment with Ollama. Built RAG-powered assistants, chatbots, and image classifiers. Integrated LLM APIs (Gemini, DeepSeek) and vector databases (ChromaDB, Qdrant) for semantic search and context-aware generation.

2024 — 2025

Python for Data Science & Machine Learning

Instituto Politécnico Formosa (IPF)

Comprehensive data science training covering the full ML pipeline: data manipulation with NumPy/Pandas, statistical visualization with Matplotlib, classical ML algorithms (KNN, Linear Regression) with Scikit-learn, and deep learning with Keras/TensorFlow. Focused on algorithm optimization, complexity analysis, model evaluation, and end-to-end project development from data cleaning to deployment.

Experience Timeline

Mar 2024 — Aug 2024

Fullstack Developer

Push Software / Orbitalab

Design of microservices architecture with NestJS. Development of RESTful APIs applying SOLID principles and Clean Architecture. Implemented TypeORM for database modeling and PostgreSQL integration.

2024 — Present

AI Engineer & Backend Specialist

Freelancing

Development of RAG systems with LangChain, autonomous AI agents using Model Context Protocol (MCP), and streaming LLM integrations (Gemini, DeepSeek, OpenAI). Built data pipelines with vector databases (Qdrant, ChromaDB, Pinecone). Proficient in Deep Learning with PyTorch (CNNs, computer vision), Transformers with Hugging Face, and classical ML with Scikit-learn.

Featured Projects

01

AI & EdTech

Syllabi - Intelligent Tutoring System

NestJSTypeORMPostgreSQLQdrantLangChainMastraReactTypeScriptAI SDKGemini/OpenAISSEZod

Syllabi is an intelligent tutoring platform that adapts to each student's learning style and knowledge level.

02

AI Engineering

Hackathon Formosa 2024 - Plant Recognition

Plant Detection APILangChainRAGReact NativeExpo

Mobile app for plant identification that provides safety guidance about edible and toxic parts.

03

Human-Centered AI

Hackathon IPF 2025 - Intelligent Incident Reporting System

NestJSTypeORMPostgreSQL (Neon)Google Gemini 2.0 FlashZodJWTMulterclass-validatorSwagger

Human-centered incident routing system that provides ranked, transparent recommendations to operators.

04

AI & Healthcare

Clinical RAG Assistant

PythonFastAPILangChainLangChain Expression LanguageVector DBMedical PDF ProcessingStreaming Responses

Clinical decision support assistant that uses RAG to provide evidence-backed diagnostic guidance and citations.