martin.dev

Martin Acebey

Backend & AI Engineer

Building high-availability Python microservices and integrating AI that generates measurable impact

4+ years designing and optimizing distributed backends in HealthTech, HRTech and Logistics.

About Me

I started building web applications for local businesses in Bolivia — four projects delivered, zero tolerance for missed deadlines. That led me to lead a team of five distributed developers across three time zones for a U.S. startup, where I understood that quality software isn't just clean code: it's measurable impact on real systems.

Today I work at Envíame (Santiago, remote) as a Backend & AI Engineer. I implemented RAG architectures with ADK and LangChain that improved our internal systems accuracy by 70%, and reduced latency between microservices by 25% by migrating to gRPC. My niche is the intersection between robust backends and applied AI: I don't just build the system, I make it smart.

I organize and speak at Python community events — PyCon Chile 2025, PyDay La Paz 2024 — and competed in ACM-ICPC ranking among the top 90 in LATAM. The technical community isn't extra: it's where I learn fastest.

Education

Software Engineering

Universidad Mayor, Real y Pontificia de San Francisco Xavier de Chuquisaca · 2019 – 2023 · Graduation with Distinction

Martin Andres Acebey Laime

Martin Andres Acebey Laime

Backend & AI Engineer

Download CV
4+

Years of experience

Backend & AI engineer

Work Experience

Envíame

Santiago, Chile (Remote)
  • Developed and maintained critical microservices handling integrations with third-party APIs including Amazon Selling Partner API and Mercado Libre API.
  • Drove adoption of AI technologies (RAG architectures with ADK, MCP and LangChain), improving response accuracy in internal systems by 70%.
  • Built autonomous AI agents using RAG strategy with ADK (Agent Development Kit and MCP) to automate internal operations that previously required daily manual intervention.
  • Optimized inter-microservice communication by implementing gRPC, reducing network latency by 25% and decreasing cloud resource utilization by 50%.
  • Mentored 3 junior developers in Python best practices, accelerating their professional growth.
  • Implemented CI/CD pipelines with Docker and Bitbucket Pipelines, reducing production errors.
PythonFastAPIFlaskLangChainADKRAGMCPgRPCGCPRedisDockerCI/CDBitbucket Pipelines

DEVOCAMP

Weehawken, New Jersey, USA (Remote)

Universidad San Francisco Xavier

Sucre, Bolivia

Freelancer

Bolivia

Technical Skills

🐍

Backend & Core Languages

6
Python
JavaScript
TypeScript
Java
SQL
Go
🤖

AI & Agents

7
LangChain
ADK
RAG
MCP
Gemini API
n8n
Vector DBs

Backend Frameworks

7
Django
DRF
FastAPI
Flask
Node.js
Express.js
React
🗄️

Bases de Datos

6
PostgreSQL
MySQL
MongoDB
Redis
Firebase
Supabase
☁️

Cloud & DevOps

5
GCP
Docker
CI/CD
Linux
Vercel
🔗

Protocolos & Integración

4
gRPC
REST
GraphQL
Celery
🧪

Testing & Quality

5
pytest
Playwright
Jest
Selenium
SonarQube
🛠️

Dev Tools

5
Git
GitHub
Bitbucket
Postman
Swagger

Featured Projects

Publications & Community

Publications

REST vs gRPC: Duel of Two Architectures

Medium · 2025

article

Voice as an Interface: Improving Rate Quoting with AI

Medium · 2025

article

Things I'd tell my past self

Medium · 2025

article

Community Participation

🐍 hover / tap

workshoptalkmeetupcompetitionaward