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Evan Parra πŸ‘‹

ML Engineer | Building Production AI Systems on GCP

I build end-to-end ML systems that ship to production. My focus is autonomous pipelines, MLOps, and LLM-powered applications on Google Cloud Platform.

MS in Artificial Intelligence (FAU, 2025) | Google Certified ML Engineer


πŸ”§ What I Build

Area Focus
ML Pipelines End-to-end data ingestion β†’ feature engineering β†’ model deployment
LLM Applications RAG systems, prompt chaining, MCP tool servers
MLOps CI/CD for ML, model versioning, monitoring, cost optimization
Data Engineering BigQuery, ETL/ELT pipelines, real-time processing

πŸš€ Production Systems

Autonomous trading signal system processing ~10GB daily market data. Full MLOps lifecycle from ingestion to deployment.

  • LLM-augmented ETL with prompt chaining
  • MCP server for AI agent tool-calling
  • CI/CD: GitHub Actions β†’ Cloud Build β†’ Cloud Run
  • 50% inference cost reduction via dynamic model routing

Stack: Python, BigQuery, Vertex AI, Cloud Run, Pub/Sub, MCP

Model Context Protocol server enabling AI agents to query real-time financial data. Production-deployed on Cloud Run with SSE transport.

Stack: Python, FastMCP, BigQuery, Cloud Run


πŸ“‚ Selected Projects

Multi-agent system automating invoice lifecycle: Ingestion β†’ Validation β†’ Approval β†’ Payment. Self-correction loops for data extraction.

Stack: Python, LangGraph, xAI Grok, FastAPI, Cloud Run

Secure file storage with user isolation and irreversible PII redaction using event-driven architecture.

Stack: Cloud Run, Cloud DLP, Vertex AI, FastAPI

Multi-document scientific paper Q&A with citation tracking. Vertex AI Vector Search + Gemini.

Stack: RAG, Vertex AI, Gemini, FastAPI, Firestore

End-to-end guide for fine-tuning YOLOv9 on custom datasets.

Stack: PyTorch, YOLO, Computer Vision


πŸ’» Tech Stack

ML/AI:       Vertex AI, Gemini, TensorFlow, PyTorch, Scikit-Learn
Cloud:       GCP (BigQuery, Cloud Run, Pub/Sub, Cloud Functions)
MLOps:       GitHub Actions, Cloud Build, Docker, Model Registry
Data:        Python, SQL, Pandas, dbt, Airflow
Backend:     FastAPI, Python, Node.js
Frontend:    Next.js, React, TypeScript

πŸ“œ Certifications

  • Google Professional Machine Learning Engineer (2025)
  • Google Advanced Data Analytics Certificate
  • MS Artificial Intelligence β€” Florida Atlantic University

πŸ“« Connect


Currently open to ML Engineer and Data Engineer opportunities. Remote or US-based.

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