Raul Garcia

About Raul Garcia

I bridge the gap between complex data ecosystems and executive-level decision-making. My work focuses on building autonomous AI pipelines and multi-agent swarms that transform fragmented enterprise data into structured, visual narratives. Recently, I architected a self-healing AI pipeline using LangChain and Google Vertex AI that programmatically generates executive presentations by aggregating data across Snowflake, Salesforce, and Slack. I don\'t just build chatbots; I build distributed intelligence systems that solve multi-step synthesis tasks. Technical EcosystemAI & ML: Multi-Agent Orchestration (Swarm Architecture), LLMs (GPT-4, Vertex AI), RAG, Prompt Engineering, XAI (SHAP, LIME), PyTorch, TensorFlow. Data Engineering: Python (Pandas, Pydantic), SQL (Snowflake, BigQuery, MSSQL), ETL Automation, Web Scraping (Selenium, BeautifulSoup).Analytics & Visualization: Tableau (Certified Data Analyst), Tableau Prep/Server, Knime, Oracle BI.Cloud & Infrastructure: GCP, AWS, Azure, GitHub, Google Workspace API Integration. The ImpactWith a background spanning operations at Panasonic Avionics and Taylor Guitars, I bring a unique \"operator\'s lens\" to technical engineering. I understand that code is only as good as the business efficiency it creates. Whether I’m optimizing supply chains or developing custom Chrome extensions to streamline workflows, my goal is to build resilient, scalable tools that drive strategic growth.I am passionate about the intersection of Generative AI, Data Engineering, and Operations. Let’s connect if you’re interested in how autonomous agents are redefining enterprise productivity.

Experience

1. Technical Project Manager

   Applause

   Oct 2024 — Present · US

   Architected an autonomous, multi-agent AI pipeline that transforms fragmented enterprise data into executive-ready presentations. By leveraging Google Vertex AI and LangChain, I built a \"distributed intelligence\" system that replaces manual reporting workflows with a self-healing, agentic swarm.🤖 Multi-Agent Orchestration & LLMsSwarm Architecture: Designed a 6-agent ecosystem (Orchestrator, Researcher, Analyst, Narrative Designer, QA, and Slide Specialist) to handle complex, multi-step synthesis tasks.Self-Healing QA: Developed programmatic error-correction loops where agents dynamically inspect and fix slide formatting and layout overrides in real-time.Advanced Prompt Engineering: Engineered role-specific prompts enforcing strict JSON schemas for strategic mapping and automated chart axis definition.RAG: Integrated Vertex AI Search (Discovery Engine) to synthesize unstructured enterprise data into actionable insights. Cloud & Workspace EcosystemsGoogle Workspace API Mastery: Deep programmatic integration of Slides, Sheets, and Drive APIs—automating batch updates, template cloning, and complex chart configurations.GCP Infrastructure: Managed the full stack including Service Accounts, IAM permissions, and API enablement for secure enterprise scaling. Enterprise Data & Software EngineeringIntelligence Aggregator: Built robust pipelines to query and transform data from Snowflake, Salesforce, and Slack into structured visual narratives.Python Backend: Developed using modern Python (Pydantic, Pandas, NumPy) with a focus on API Resilience—implementing exponential backoffs and custom _execute_with_retry methods to manage enterprise quotas.Core Tech Stack: Python, LangChain, Google Vertex AI, GCP, Google Workspace APIs, Snowflake, Salesforce, Pydantic, RAG.

Education

• Universidad Tecnológica Centroamericana

  Associate's degree, Computer Systems Engineering

• ESI School of Management

  Bachelor of Business Administration (BBA)

  2012 — 2012