Open to opportunities

Wesley Gonzales

@wesleygonzales

Message

I build production LLM and agentic systems that deliver measurable operational impact.

Germany

Message

What I'm looking for

I'm seeking opportunities to build scalable AI solutions with measurable business impact, particularly production LLM, RAG, agentic, and AI platform systems.

I've built and deployed AI systems at Crehana, CARIAD (Volkswagen Group), and HOPn, turning LLM, RAG, and computer-vision capabilities into production services. At Crehana, my LangGraph-based multi-agent onboarding system reduced reported turnaround time from six days to approximately two hours.

I build orchestration and retrieval layers in Python using LangGraph, LangChain, FastAPI, Qdrant, ChromaDB, SQL, and GraphQL integrations. I also validate AI behavior through golden datasets, human evaluations, prompt iteration, deterministic testing, and guardrails.

At CARIAD, I delivered an MCP client and server for natural-language investigation of vehicle POI issues across Elasticsearch, TomTom, and an internal POI API. I also optimized a YOLO detector that evaluated roughly 1.5 million images and blocked images containing people or license plates before ingestion.

Previously, I deployed a natural-language agent over a 40M+ record forensic SQL database for the National Police of Peru, reducing analyst retrieval time by 70%. I'm seeking to build scalable AI solutions with measurable business impact.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Crehana

Mar 2026 - Present (5 months)

Built and deployed a LangGraph-based multi-agent system for HR onboarding and internal employee operations, reducing onboarding turnaround from 6 days to approximately 2 hours. Developed the agent orchestration layer and FastAPI backend, integrating GraphQL operations and Qdrant-based retrieval.

LangGraph fastAPI Docker Kubernetes Datadog Qdrant Python Pytest Human In The Loop

Machine Learning Intern

CARIAD SE

Sep 2025 - Feb 2026 (5 months)

Built and deployed a production MCP client and server using Azure AI Foundry and LangChain for natural-language tool orchestration. Developed and optimized a YOLO object detector on Databricks for privacy and compliance, and owned production delivery across environments.

Python Azure AI Foundry Lang Chain MCP Elasticsearch YOLO Databricks Docker GitHub Actions Kubernetes Helm ArgoCD Azure Key Vault

AI Engineering Intern

HOPn

Jun 2025 - Dec 2025 (6 months)

Built the data and retrieval layer for an end-to-end RAG prototype for multi-document invoice and offer analysis. Developed FastAPI backend and Streamlit interfaces with Docker-based deployment.

RAG OCR ChromaDB Sentence Transformers fastAPI Streamlit Docker Ollama

Data Scientist

National Police of Peru

Apr 2023 - Apr 2024 (1 year)

Deployed a natural-language AI agent over a 40M+ record forensic SQL database, cutting analyst retrieval time by 70%. Built automated ETL pipelines and architected national-scale Power BI dashboards for real-time crime trend tracking.

SQL ETL Power BI AI Agents Python