Luis Tupac

Luis Tupac

Software & Platform Engineer

About Me

I'm a builder at heart, solving complex problems at the intersection of data and infrastructure. My journey spans from computer science fundamentals to deep learning and platform engineering, always focused on creating systems that empower other developers.

I believe in AI-assisted development and modern tooling to accelerate iteration. Whether building internal developer platforms or optimizing data pipelines that save millions, I'm driven by creating tangible business impact through technology.

My Professional Journey

Dec 2025 - Present

Senior Software Engineer & Operations Owner

General Motors (GM)

  • Led the development of Mercury's FinOps dashboard, unifying multi-cloud telemetry and cost-attribution across the enterprise.
  • Leading organizational standards for Datadog observability patterns and Azure Kubernetes Service (AKS) deployment guardrails.
  • Owning end-to-end service reliability and operational excellence for mission-critical platform infrastructure.
  • Mentoring junior/mid-level engineers on Golang, TypeScript, and cloud-native architecture best practices.

Jan 2025 - Dec 2025

Software Engineer - Platform Engineering

General Motors (GM)

  • Led GM's first Internal Developer Platform; accelerated onboarding & time-to-prod by abstracting infra.
  • Built cloud-agnostic FinOps platform for cost visibility & optimization.
  • Streamlined Azure provisioning: multi-approval to single platform approval.
  • Operations Owner/Tech Lead: infra ownership, Next.js monorepo strategy, language & framework guardrails.

2023 - 2025

Master of Science in Analytics

Georgia Institute of Technology

  • Specialized in Deep Learning & Time Series Analysis.
  • Key Projects: fastMRI (ROI-weighted U-Nets), Behavioral Finance (NDR Risk Score), Enron Fraud Detection.

Jul 2022 - Dec 2024

Software Developer - Backend, Cloud Data Services

General Motors (GM)

  • Maintained & scaled enterprise data lake; ingestion via GoldenGate, Fivetran, and custom services.
  • Designed Databricks Loader (Java + Spring Boot) to migrate on-prem to cloud.
  • Developed Spark-native deterministic encryption, saving $3M annually with a 90% latency reduction.
  • Built PII detection & encryption pipelines using regex + ML.

Mar 2021 - Jul 2022

Data Engineer

General Motors (GM)

  • Built SQL/PySpark pipelines on Azure Databricks across bronze/silver/gold layers.
  • Consulted for business teams on data ingestion, lineage, and Power BI reporting.
  • Partnered cross-functionally to deliver insights for Customer Experience initiatives.

2016 - 2020

Bachelor of Science in Computer Science

Georgia Southern University

  • Minor in Mathematical Sciences.
  • Won the university's annual Hackathon competition.
  • Served as an Upper-level Mathematics Tutor for 2 years.