Christian Garciacg

Christian Garcia

Data Engineer / Software Engineer

I build data platforms, backend systems, and infrastructure.

Currently exploring distributed systems and ML infrastructure.

GitHubLinkedInResume

> currently: building data infrastructure + learning ML systems

00 / about

About

Wilmington, North Carolina

I started in general software and full-stack development, then moved closer to the data and infrastructure layers where I now spend most of my time. I like understanding systems end to end—from application code and data pipelines to infrastructure, deployments, observability, and the ML systems built on top of them. The interesting part is usually at the boundaries: how the pieces behave together, fail, scale, and become easier for other engineers to operate.

01 / experience

Experience

recent work

Lumos Data

Current

Data Engineer

Building and operating data platform infrastructure, production pipelines, external integrations, and the deployment systems around them.

  • Databricks
  • PySpark
  • SQL
  • Delta Lake
  • Unity Catalog
  • Terraform
  • Databricks Asset Bundles
  • GitLab CI/CD
  • AWS
  • Data pipelines
  • Infrastructure as code
  • External data integrations
  • Feature and model serving infrastructure
  • Deployment tooling
  • Observability
  • Infrastructure cost attribution

Tidal Cans

Lead Software Engineer — Contract

Built a two-sided marketplace with React Native, TypeScript, Express, PostgreSQL, Prisma, Stripe, and Checkr.

Tyhacz Studios

Full Stack Developer — Contract

Built and maintained web and mobile applications with React, Next.js, React Native, TypeScript, Express, PostgreSQL, and MongoDB, working across feature delivery, backend APIs, third-party integrations, code review, CI/CD, and production deployments.

Stiegler EdTech

Full Stack Developer

Developed full-stack applications and APIs with React, Spring Boot, Node.js, Express, .NET, Docker, and AWS, including third-party integrations, CI/CD pipelines, and containerized deployment workflows in an Agile team.

02 / projects

Projects

~/projects

Exploring / In Development

AgentIR

An experiment in representing LLM agent plans using a constrained intermediate representation / DSL so traditional search and optimization algorithms can optimize agent execution instead of relying entirely on repeated autoregressive loops.

  • Agents
  • DSLs
  • Program Synthesis
  • Optimization
  • ML Systems

private / publication pending

Open Source / v0.1

Dataset Foundry

A lightweight data platform that turns raw JSON, JSONL, CSV, and text files into clean, versioned, reproducible Parquet datasets with validation, exact deduplication, quarantine records, manifests, and quality reports.

  • Python
  • PyArrow
  • Pydantic
  • Parquet
  • Data Quality
SourceRead more

Phase 1 / In Development

Nutrition Tracker

An offline-first Flutter application for tracking daily nutrition, foods, recipes, and goals. Built with clean architecture, centralized nutrition calculations, Riverpod state management, and a Drift-backed local database.

  • Flutter
  • Riverpod
  • Drift
  • Clean Architecture
  • Material 3
SourceRead more

03 / toolbox

Toolbox

working set

Languages
Python · SQL · TypeScript · Bash · Java
Data
Databricks · PySpark · Delta Lake · Unity Catalog · PostgreSQL
Infrastructure
Terraform · Docker · AWS · Linux · Databricks Asset Bundles
DevOps
GitLab CI/CD · GitHub Actions · Git
Software
Node.js · Express · Next.js · React · REST APIs
Interests
Distributed Systems · Data Infrastructure · ML Systems · Agent Systems

04 / contact

Contact

open channel

Interested in data infrastructure, systems, ML infrastructure, or just want to talk engineering?

email ↗GitHub ↗LinkedIn ↗