I’m an AI Software Engineer and Backend Engineer with 5+ years shipping production software, now focused on agent-driven development. I build and orchestrate coding agents (Claude Code, GitHub Copilot, Cursor) using specialized subagents for development, testing, and code review—while enforcing quality, security, and maintainability gates for AI-generated code. I design reliable backend systems and integrations using Python (FastAPI, async/await), strong API and architecture practices (Clean/Hexagonal), and solid observability/testing. I also do LLM/RAG engineering (Anthropic/OpenAI, LangGraph, Qdrant) with evals and context/token cost optimization, building MCP servers and AI-executable workflows to accelerate delivery.

Daniel Caso Quintanilla

I’m an AI Software Engineer and Backend Engineer with 5+ years shipping production software, now focused on agent-driven development. I build and orchestrate coding agents (Claude Code, GitHub Copilot, Cursor) using specialized subagents for development, testing, and code review—while enforcing quality, security, and maintainability gates for AI-generated code. I design reliable backend systems and integrations using Python (FastAPI, async/await), strong API and architecture practices (Clean/Hexagonal), and solid observability/testing. I also do LLM/RAG engineering (Anthropic/OpenAI, LangGraph, Qdrant) with evals and context/token cost optimization, building MCP servers and AI-executable workflows to accelerate delivery.

Available to hire

I’m an AI Software Engineer and Backend Engineer with 5+ years shipping production software, now focused on agent-driven development. I build and orchestrate coding agents (Claude Code, GitHub Copilot, Cursor) using specialized subagents for development, testing, and code review—while enforcing quality, security, and maintainability gates for AI-generated code.

I design reliable backend systems and integrations using Python (FastAPI, async/await), strong API and architecture practices (Clean/Hexagonal), and solid observability/testing. I also do LLM/RAG engineering (Anthropic/OpenAI, LangGraph, Qdrant) with evals and context/token cost optimization, building MCP servers and AI-executable workflows to accelerate delivery.

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Experience Level

Expert
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Intermediate
Intermediate
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Language

Spanish; Castilian
Fluent
English
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Work Experience

Backend Engineer, Integrations at Kwema St. Louis
March 1, 2025 - Present
Drove agent-based development with Claude Code and GitHub Copilot by orchestrating specialized subagents for development, testing, and code review. Enforced mandatory reviews and test-coverage gates for AI-generated code. Built a FastMCP Python server exposing tools for SQL Server observability (queries, indexes, blocked sessions, fragmentation) consumed by AI workflows. Architected a BLE indoor positioning system by replacing REST polling with Juniper Mist webhook integration, reducing emergency alert latency from seconds to sub-second. Developed a C# .NET plugin for Genetec Security Center 5.13 to enable real-time panic alerts via an embedded HTTP webhook server.
Backend Engineer at Llatam S.A.C.
November 1, 2024 - July 1, 2025
Developed REST APIs in Python (FastAPI, Pydantic v2, SQLAlchemy, async/await) over PostgreSQL using Clean Architecture for testable domain logic. Optimized high-traffic endpoints with cursor-based pagination, composite indexes, and query plan analysis to reduce p95 latency during peak hours. Integrated Redis caching (read-through and write-behind) and implemented CI/CD pipelines with GitHub Actions running pytest, ruff, and mypy for validated deployments. Authored an Alembic migration strategy for zero-downtime schema evolution using expand/contract patterns for high-traffic tables.
Backend Engineer at Fide PBC
March 1, 2020 - October 1, 2024
Owned core backend services across 4+ years using Python (Django, FastAPI) and Java (Spring Boot). Migrated services to AWS and Azure using Docker, Kubernetes, and CI/CD pipelines to reduce manual deployment effort and standardize releases. Built ETL pipelines on Azure Databricks with PySpark and implemented event-driven patterns with Kafka, Redis Streams, and Celery for resilient asynchronous processing. Mentored junior engineers through pair programming and code reviews and led documentation-first initiatives to reduce onboarding time.

Education

B.S. in Computational Engineering at Universidad Privada del Norte
March 1, 2025 - July 25, 2026
Software Development at SENATI
March 1, 2018 - January 1, 2021

Qualifications

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Industry Experience

Software & Internet, Computers & Electronics, Professional Services, Telecommunications
    AI Agent with RAG — Conversational Assistant (Gemini API + ChromaDB)

    Conversational AI agent built with Retrieval-Augmented Generation (RAG) to answer questions over a domain-specific knowledge base.

    Implemented RAG using ChromaDB for semantic vector search and the Anthropic Claude API for response generation. I deliberately used the SDKs directly rather than a framework, to keep full control over the retrieval and generation pipeline and understand it at a low level.

    Built with NestJS / TypeScript following Hexagonal Architecture and Domain-Driven Design (DDD), keeping the LLM and vector store as swappable infrastructure adapters. Reached ~80% test coverage and added full observability with Prometheus, Grafana, and Loki.

    Tech: NestJS, TypeScript, ChromaDB, Anthropic Claude API, Gemini API, Prometheus, Grafana, Loki.