Luis Antonio Reynoso

Luis Antonio Reynoso

Lead AI Engineer & Forward Deployed Engineer

I build LLM agents, RAG systems, and machine learning platforms for enterprise teams, with over 15 years of experience running production infrastructure on AWS, Azure, and GCP.

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Guadalajara, Mexico Metropolitan Area

I am an AI Engineer and Forward Deployed Engineer with more than fifteen years of experience building production systems for Fortune 500 companies.

I design and ship tool-using LLM agents, retrieval-augmented (RAG) assistants, and multi-model AI platforms with Claude Code, MCP, LiteLLM, Amazon Bedrock, SageMaker, Vertex AI, and Azure AI Foundry. I also build the evaluation, guardrails, and monitoring that keep them reliable in production. I work directly with customers to turn their workflows into deployed AI solutions.

  • 15+ Years of experience
  • 3,000+ Microservices managed
  • 2M+ Vehicles served by AI
  • 99.99% Platform uptime
  • $1.2M Annual cloud savings

Agentic Engineering Platform

KKR (via Movate) · Boston, MA · 2026

Built tool-using LLM agents on Claude Code with custom MCP servers for GitHub, Terraform, AWS, and observability. The agents fix CI/CD failures, propose infrastructure changes, and write runbooks. Every change is approved by a person through a pull request.

LLM Agents MCP LiteLLM Bedrock RAG

“Hey Mercedes” Speech AI Migration

Daimler (via Luxoft) · Germany · 2020

Led the migration of 20+ speech-recognition AI services to Azure Kubernetes Service with zero downtime, serving 2M+ vehicles in real time. Achieved 85% faster deployments, 40% lower latency, and 99.98% uptime.

Speech AI Azure AKS Edge Hardware

LLM-Assisted Incident Response

EPAM Systems · Houston, TX · 2023–2025

Built an LLM workflow that summarizes alerts from Splunk and Dynatrace, finds related signals, and drafts root-cause analyses across 100+ Kubernetes clusters. Cut resolution time from 90 to 15 minutes and repeat incidents by 60%.

LLMs AIOps Splunk Kubernetes

AWS Landing Zone for ML Forecasting

Global renewable energy company

Designed an AWS landing zone and migrated 15+ ETL pipelines along with the energy-forecasting and machine learning applications. Delivered 300% burst capacity, 45% lower cost, and 60% faster queries.

AWS Terraform ETL ML

Lead AI Engineer, LLM Agents & Platform Mar 2026 – Aug 2026

Movate / KKR · Boston, MA · Official title: Senior DevOps MLOps Data Platform Engineer

  • Designed and built MCP-based LLM agents and a LiteLLM multi-model gateway.
  • Deployed production inference on Bedrock, Vertex AI, and Azure AI Foundry for forecasting, risk, and fraud features.
  • Set up LLM evaluation, tracing, and sandboxed, least-privilege execution for agents.

Senior AI / MLOps Engineer May 2023 – Oct 2025

EPAM Systems · Houston, TX · Official title: Senior Release DevOps Engineer / SRE

  • Ran 100+ Kubernetes clusters hosting 2,500+ services and model-serving workloads at 99.99% uptime.
  • Built CI/CD for models and services, cutting deployment time from 25 to 4 minutes.
  • Saved $1.2M per year on compute; led a 1,800-server migration to AWS with zero data loss.

Senior DevOps Engineer / Release Engineer Nov 2021 – May 2023

Tecnologia Corp · Houston, TX

  • Architected AKS infrastructure for 3,000+ applications across five regions.
  • Led a team of 8 engineers and mentored 12+ junior engineers.

Release Engineer / DevOps SRE Tech Lead Jun 2017 – Nov 2021

Luxoft (DXC Technology) · San Francisco, CA

  • Managed continuous deployment of 4,000+ microservices with a 99.97% success rate.
  • Architected an enterprise Splunk platform processing 10TB+ of logs per day.

Earlier Positions 2009 – 2017

Accenture · Softtek · Tata Consultancy Services · City Council IT Governance, Jalisco

AI Engineering

  • LLM Agents & Tool Calling
  • MCP Servers, Claude Code
  • RAG, Embeddings, Vector Search
  • Prompt Engineering

LLM Platforms

  • Amazon Bedrock, SageMaker
  • Google Vertex AI
  • Azure AI Foundry, Azure OpenAI
  • LiteLLM

MLOps

  • LLM Evaluation & Tracing
  • Guardrails & Human-in-the-Loop
  • Model Serving & Monitoring
  • CI/CD for ML

Cloud & Infrastructure

  • AWS, Azure, GCP
  • Kubernetes, Docker, Helm
  • Terraform, Ansible
  • GitHub Actions, Jenkins

Data

  • Databricks, Spark
  • Snowflake, Redshift
  • Airflow, Dagster

Languages

  • Python, Go
  • Bash, PowerShell
  • SQL

Education & Certifications

B.S. Computer Systems EngineeringInstituto Tecnológico Superior de Puerto Vallarta2009
International Program in Cybersecurity & Big DataBarcelona, Spain2019
Data Science Programming & Machine LearningGuadalajara, Mexico2018
Splunk Certified AdministratorSplunk
ITIL Foundations V3Certified Professional