Backend Developer · Go · Python · Applied AI

Daniel Germán Ochoa

I build production APIs in Go and Python and integrate language models with RAG and MCP. Before that, I spent 14 years in the Argentine Navy maintaining navigation radar systems under mission-critical conditions.

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About me

From navigation radar to backend

I'm a backend developer working mainly with Go (Fiber) and Python (FastAPI) on PostgreSQL, MongoDB and Redis, with Docker and CI/CD on GitHub Actions. I've built five systems of my own applying clean architecture, asynchronous queues with retries, JWT/RBAC authentication and automated testing.

My current focus is production APIs and language-model integration: RAG, MCP servers and orchestration across multiple LLM providers.

I spent 14 years with the Argentine Navy maintaining and repairing navigation radar systems, finishing as Electronic Repairs Supervisor leading a technical team. From there I bring systematic troubleshooting under pressure, on-call discipline, rigorous documentation and work with a minimal margin of error. What interested me most about those systems was the logic behind how they process information, and in 2022 I turned to software.

Location
Autonomous City of Buenos Aires, Argentina
Languages
Spanish (native) · English B2, certified
Work mode
Remote, hybrid or on-site in Buenos Aires
Availability
Immediate

How I work

Discipline and commitment are my strongest virtues.

Leadership

To me, leading means empowering a team to own its goals: giving it autonomy and the right tools, and working side by side with it.

Calm under pressure

I was trained to stay calm in high-risk situations and work the problem step by step. That same composure applies to a critical bug in production.

Continuous learning

“Someone else's experience is the cheapest,” so I learn in forums, communities and meetups. I see AI as an ally that frees time for what scales.

Reliability

I take each system end to end and design for failure from day one: retries, health checks and tests, held to the standard of efficient work I learned on board.

Projects

Systems I designed, built and shipped

All of them have public source code on GitHub.

Engine API Workflow

Workflow automation engine

View code on GitHub

Automation API with multi-step pipelines and scheduled triggers.

  • Endpoints secured with JWT, RBAC, refresh tokens and per-user rate limiting.
  • Asynchronous job processing over Redis queues, including a retry policy.
  • Audit logging, metrics, real-time statistics and health checks.
  • Clean layered architecture: handlers, services, repositories and models.
Go · FiberMongoDBRedisDockerGitHub Actions

RAG Document API

LLM-assisted document search

View code on GitHub

Multi-provider RAG API supporting OpenAI, Anthropic, DeepSeek and Ollama.

  • Asynchronous ingestion of PDF, TXT, Markdown, EPUB and Excel documents.
  • HuggingFace embeddings running locally: zero per-token cost and data kept in-house.
  • Real-time dashboard with drag-and-drop upload and chat over indexed documents.
  • PyTest coverage across all endpoints and validation logic.
Python · FastAPILangChainChromaDBDockerPyTest

Dev Environment Snapshots

MCP server

View code on GitHub

MCP server to capture, restore and diff development environment states.

  • Native Win32 API integration without CGO for window management.
  • Snapshot persistence in SQLite.
GoSQLiteWin32 APIMCP

Other projects

REST API Task Manager

Modular REST API with idiomatic Go layout and a CI/CD pipeline for testing and deployment.

Go · PostgreSQL · sqlx · GitHub Actions View code

Moto-Repuestos

Relational schema for inventory, sales, warranties and clients, with 5 triggers, 4 views and 13 indexes for reporting and query optimisation.

PostgreSQL 16 · Docker View code

Skills

What I work with

Languages
Go (primary), Python, TypeScript, JavaScript
Frameworks
Fiber, FastAPI, Flask, Express.js
Applied AI
LangChain, LlamaIndex, RAG, ChromaDB, LLM orchestration, MCP, embeddings, agents, n8n
Databases
PostgreSQL, MongoDB, Redis, SQLite, vector databases
ORM & data
Prisma, SQLAlchemy, sqlx
DevOps
Docker, Docker Compose, GitHub Actions (CI/CD), Linux
Architecture
Clean Architecture, REST APIs, JWT/RBAC, async processing, message queues
Testing
PyTest, endpoint and validation-logic tests
Tools
Git/GitHub, VS Code, Jira, Trello, Confluence, Notion
Methodologies
Agile (Scrum / Kanban)

Experience

Experience and education

2022 — present

Backend Developer

Independent projects · Buenos Aires

  • Design, development, testing and deployment of my own backend systems, with public source code on GitHub.
  • Continuous self-directed training in backend development, software architecture and applied AI.

2011 — 2026

Electronic Repairs Supervisor

Argentine Navy · Navigation Radar Systems

  • Led a technical team repairing mission-critical navigation radar under tight deadlines and at sea.
  • Responsible for communications, sonar, radar and IT equipment.
  • Reduced equipment downtime through systematic fault diagnosis and scheduled preventive maintenance.
  • Delivered zero-failure operation of navigation equipment across deployments.
  • Produced technical procedure documentation, intervention records and fault traceability.
  • Promoted four times, from Radar Assistant to Electronic Repairs Supervisor.

Education

Senior Electronic Technician

Argentine Navy Petty Officers School · Specialised in navigation radar

Certifications

Verifiable in one click

Earned between January and August 2026. Each link opens the credential on the issuer's website.

Applied AI and LLM development

Anthropic

Automation, cybersecurity and technical English

Cisco Networking Academy · Simplilearn SkillUp

  • English for IT 2 (CEFR level B2)01/2026Verify ↗
  • Introduction to Cybersecurity01/2026Verify ↗
  • n8n Course: No Code AI Agent Builder01/2026Code 9706214

Contact

Let's talk

I can start immediately, working remotely, hybrid or on-site in Buenos Aires.

Email daniell.german8@gmail.com
LinkedIn linkedin.com/in/daniel-ochoa-p41