AI-driven engineer with production RAG experience and cloud-native deployment. 5+ years building web and mobile products with React, Vue.js, Laravel, Django, Ionic, and ASP.NET. Shipped a retrieval-augmented assistant using LangChain, vector databases, and LLM APIs to ground answers in internal documents and reduce hallucination. Comfortable across the stack: designing async APIs, owning PostgreSQL and SQL Server schemas, and deploying containerized services with Docker and CI/CD. AWS-certified (Cloud Essentials, Architecting Solutions, Data Lakes). Based in Paraguay (UTC-3/UTC-4) with flexible overlap for US and Canada teams. Open to relocation, preferably within LATAM.
SKILLS AND TECH
AI & LLM:RAG,
LangChain,
Agentic Programming,
Tool / Function Calling,
LLM API Integration,
Prompt Engineering,
Vector Databases (ChromaDB),
NLP,
Hermes (open-source LLM tooling).
English:Professional Working Proficiency (B2). Comfortable leading technical discussions, writing documentation, and collaborating in English-speaking engineering teams
Lead a team of 4 engineers delivering a B2C services platform on Laravel, Vue.js, and PostgreSQL. Owned architecture, code review, and release readiness.
Replaced blocking request/response flows with asynchronous, queue-based processing using Redis and Laravel Horizon, decoupling long-running sync jobs from user-facing latency.
Defined API contracts and integration patterns (versioning, error envelopes, validation) that aligned web, mobile, and backend services around a single source of truth.
Built and maintained GitLab CI/CD pipelines with Docker to standardize build, test, and deploy across environments.
Shipped and maintained production mobile features in Ionic, React, and TypeScript, coordinating with product and design on UX-driven API changes.
Rebuilt a mobile application end-to-end with Ionic, React, and TypeScript, improving maintainability and shortening the release cadence for product iterations.
Refactored and extended Laravel REST APIs to support new mobile workflows, introducing cleaner domain boundaries between controllers, services, and data access.
Standardized request validation, error handling, and response envelopes across endpoints, reducing client-side defensive code and integration bugs.
Partnered with product and design to translate UX requirements into consistent API behavior and well-documented contracts.
Built and maintained location-based applications with React, Django, PostgreSQL, and PostGIS, including geospatial queries for proximity and routing features.
Designed and shipped REST APIs with Django REST Framework and OpenAPI documentation, giving web and mobile clients a clear, self-describing contract.
Modeled relational schemas and wrote SQL for transactional modules, reporting workloads, and cross-system integrations.
Containerized services and built GitLab CI/CD pipelines to bring existing codebases to reproducible, automated deploys.
Designed and implemented a RAG assistant over internal documentation: chunked source documents, generated embeddings, indexed them in a vector store, and orchestrated retrieval-augmented prompts via LangChain and LLM APIs to ground answers and reduce hallucination.
Tuned the retrieval pipeline around chunk size and overlap, prompt grounding, and provider/model selection to balance answer quality against inference latency and cost.
Shipped real-time in-app chat over WebSockets with Django Channels, supporting presence and message persistence.
Designed and implemented electronic invoicing and SAP HANA integrations across .NET codebases in C# and VB.NET, backed by SQL Server. Owned service-layer design, data flows, and integration with corporate systems.
Built a chatbot with Rasa Open Source and a custom NLU pipeline, defining intents, entities, and dialogue policies to handle student queries end-to-end.
Implemented a Python backend with PostgreSQL for conversation persistence, user state, and analytics.
Applied Transformer-based NLP techniques to improve intent recognition and response quality over baseline keyword approaches.
Integrated the Telegram Bot API as a familiar delivery channel for students.
Containerized the full stack with Docker to standardize local development and deployment.