Hello! My name is Cristian Camargo 👋🏽

Picture of Cristian Camargo
I am a Machine Learning Engineer, focused on building a cost-efficient and scalable ML Platform. I collaborate with Data Scientists and Analysts across all domains to impact decision-making and predictions on billions of events 🧑🏽‍💻.
Education
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B.S. in Mathematics and Computer Science
University of California San Diego
September 2014 - June 2018
Experience
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Senior Machine Learning Platform Engineer - Wise
January 2023 - Present
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Software Engineer - Seismic
September 2018 - September 2022

External Data Team
  • Helped build the next external data attribution infrastructure, which turned a batch job into an event-driven microservice-based system. Improved attribution time from 24 hours to near-real-time.
AI/ML Team
  • Built Seismic's ML training infrastructure in Python and AzureML and was responsible for the backend services that support Seismic Aura - Seismic's AI Engine
  • Helped rebuild Seismic's homepage content recommendation system using .NET and Redis. This service was 20x faster than the old one and drastically improved homepage loading times.
  • Created Seismic's internal A/B testing experiment framework in .NET using PostgreSQL and managed Seismic's first production homepage A/B testing.
  • Productionized data scientists' work by: refactoring Python code into deployable packages; integrating existing Kubernetes hosted docker containers into fully automated CI/CD Jenkins pipelines; and establishing security, logging, and alerting best practices in the AI/ML teams microservices.
  • Worked with the Data and Analytics Team to develop streaming and batch processing data systems in .NET that wrote data to MSSQL and Snowflake Data Warehouse to make data available for machine learning and analytics.
CRM Services Team
  • Worked on the CRM Services team to refactor Seismic's legacy and monolithic, Predictive Content application into a microservice that was 10x faster than the original.
.NET
Python
Docker
Kubernetes
CI/CD
Azure
GCP
AWS
PostgreSQL
Redis
Kafka
AI/ML
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Devops Engineer Intern - Seismic
June 2018 - September 2018
  • Built a full stack web application in React and Node.js that acted as an internal DevOps dashboard. The dashboard provided insights, such as lead time for customer bugs and a high level overview of Jenkins pipeline health.
  • Assisted the QA team in building out a new testing automation framework written in Robot that was fully integrated into our CICD Jenkins pipelines.
React
Node.js
Jenkins
Ansible
Terraform
Robot Framework
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QA Engineer Intern - BrightSign
June 2017 - September 2017
  • Designed and created a windows program in C++ to send and receive commands to an HDMI protocol analyzer to automate video testing.
  • Oversaw and documented HDCP compliance testing for BrightSign players.
C++
QA
Projects
FellowshipIt
Download The App! IOS | Android
  • Built a mobile application that allows Christian communities to stay better connected.
Python
SQLAlchemy
PostgreSQL
React Native
Personal Website
This Website!
  • Built a web application using Next.js React Framework to showcase personal goals and projects.
  • Deployed and hosted using Vercel.
Next.js
Javascript
Vercel
Smart Park Disney
Github
  • Individually developed an Android app, using Java, that streamlines wait times and park info for Disneyland.
  • Used Firebase and Google Directions API to design a Smart Plan feature. The Smart Plan feature allows a user to select their favorite rides and then generates an optimized plan using fast pass, ride wait time, average wait time, and location data.
Java
Android Studio
Firebase
Heroku
VRcane
Project Demo
  • Developed a multiplayer virtual reality first person game for the Google Daydream Headset.
  • Worked in a team as algorithm specialist to design functions and optimize algorithms to have VRcane running properly and efficiently.
Unity
C#