Andres Suarez

About Andres Suarez

I’m a Senior Technical Program and Engineering Leader with 10+ years building AI/ML experimentation, data platforms, and large-scale software systems. I align research, engineering, product, and operations around clear goals, metrics, and delivery plans to turn ambiguous ideas into shipped outcomes.At Amazon, I’ve led global experimentation and benchmarking platforms that doubled daily experiment volume across regions and languages while maintaining strict reliability and latency SLAs. I helped design and validate NLP models, improved labeling quality by up to 42% through “Golden Set” curation and vendor benchmarking, and used data to block underperforming launches that would have harmed customer experience.I also lead internal data platforms for Community Impact programs, standardizing 80+ data sources across global initiatives, raising automation from under 40% to 90%, and cutting manual reporting effort by more than 25% for stakeholders. Earlier, in consulting, I owned full financial and contract lifecycles for multi-million‑dollar engagements, building forecasts, leading RFPs, and negotiating QA and services contracts across countries.I’m most energized by roles at the intersection of AI/ML, data, and operations where I can blend technical depth, program leadership, and vendor strategy to deliver measurable impact.SKILLS· Technical product operations: Decision Making, Multi-product program execution, 0/1 initiatives, cross-functional delivery with product/eng/legal/XFN, risk identification and mitigation plans.· AI agents & automation: Experience using AI/LLM tools to explore data, prototype analyses, and automate repetitive operational tasks; comfortable with low code/CLI tooling and scripting to tie systems together. · SQL, data & dashboards: Advanced SQL (joins, aggregations, window functions), ETL design, Airflow, Snowflake, Athena, Redshift, dbt, Power BI/Sheets dashboards, and analytics for product decisions.· AI/ML & infrastructure: Pre/post-training pipelines, inference and model serving stacks, distributed systems, compute and performance optimization, SLA/OLA design, incident response, and large-scale hardware/firmware and lab environments.· Data annotation & LLM workflows: Labeling and QA workflows for NLP and speech models,\"Golden Set\" curation, LLM and ML model evaluation, and hallucination/quality analysis.· Process improvement: Lean, Six Sigma, PMI/PMP professionally trained, Scaled Agile (SAFE, Scrum, Kanban).

Experience

1. Software Development Manager

   Amazon

   Oct 2024 — Present · Seattle, WA, US

   Lead engineering teams building internal data platforms for Amazon’s Community Impact programs, standardizing 80+ data sources across 5+ global programs and raising automation from under 40% to 90%. I focus on replacing manual data operations with self-serve tooling, cutting recurring effort by 25%+ and giving senior leaders reliable visibility into multi-million‑dollar investments and outcomes across regions. I own roadmap governance, intake, and cross-team coordination so program, data, and leaders stay aligned on priorities and delivery.

Education

• Universidad Simón Bolívar

  Ingeniero Electrónico, ingeniería electrónica

  2004 — 2011

Skills

• Ms Project
• Html/Xml
• Microsoft Office
• Pl/Sql
• Silverlight
• Project Planning
• Actionscript
• Unix Shell Scripting
• Php
• Mathlab
• Scrum
• Mysql
• C (Programación)
• Gestión De Proyectos
• Oracle Pl/Sql Development
• Project Delivery
• Javascript
• Metodologías Agile Y Waterfall
• C++
• Causal Analysis
• Metodologías Ágiles
• Oracle
• Jquery
• Css
• Function Point Analysis
• Tuxedo
• Java
• Análisis Financiero
• Desarrollo De Software
• Flash Design
• Sql
• Microsoft Visual Studio
• Labview
• Planeamiento De Proyectos
• C
• Project Management
• C#
• Project Estimation