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Carlos – Python, LLM, Typescript, experts in Lemon.io

Carlos

From United States (UTC-7)flag

AI Engineer|Senior
Engineering Manager
Tech lead

Carlos – Python, LLM, Typescript

Carlos is a Senior AI Engineering Leader with over 8 years of Python experience and 15+ years in technical leadership, including 5 years in management roles. He has built and led ML infrastructure teams at top organizations like Facebook, Microsoft, Outreach, and the University of Washington. Carlos brings deep expertise in scalable AI systems, distributed training, and bridging the gap between research and engineering!

26 years of commercial experience in
AI
Cloud computing
Machine learning
Scientific research
Social media
UI/UX
Open source
NLP software
SaaS
Main technologies
Python
8 years
LLM
2 years
Additional skills
Typescript
JavaScript
PyTorch
Deep Learning
Kubernetes
GCP Compute Engine
Docker
AWS
GitHub Actions
NumPy
Microsoft Azure
Databricks
NLP
Terraform
MLflow
Data Science
Datadog
Golang
Machine learning
Apache Hadoop
C#
Direct hire
Possible
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Experience Highlights

Principal Machine Learning Engineer
Aug 2024 - Apr 20257 months
Project Overview

A robust tooling for distributed PyTorch training of deep learning (Transformer) models on a GCP Kubernetes-based GPU cluster, including custom monitoring and diagnostics using Weights and Biases.

Responsibilities:
  • Developed internal tools and processes enabling researchers to run distributed jobs on a cluster without needing to understand Docker or Kubernetes;
  • Simplified infrastructure complexity, significantly improving accessibility and productivity for non-engineering team members;
  • Leveraged Kubernetes and Git to streamline the transition from local model development to large-scale cluster execution;
  • Integrated Git and Weights & Biases, allowing easy experiment tracking, results sharing, and full reproducibility.
Project Tech stack:
PyTorch
GCP Compute Engine
Kubernetes
Weights & Biases
Deep Learning
Git
Python
Senior Principal Research Software Engineer
Feb 2023 - Dec 202310 months
Project Overview

A Python seismology package designed for fast and straightforward computation of ambient noise cross-correlation functions. It provides additional functionality for noise monitoring and surface wave dispersion analysis.

Responsibilities:
  • Revamped a broken codebase by introducing proper engineering practices, unit tests, and a continuous integration (CI) pipeline within 6 months;
  • Improved code quality and reliability, making the software functional and maintainable;
  • Optimized performance and added support for multiple data formats and parallel processing across both HPC and cloud (AWS) environments;
  • Enabled large-scale data processing, successfully handling over 1TB of data in AWS;
  • Mentored the research team in software development best practices, enabling them to maintain and extend the project independently.
Project Tech stack:
Python
NumPy
GitHub Actions
GitHub
Docker
AWS
Unit testing
Principal Engineer, Applied AI Engineering Director
Oct 2020 - Dec 20222 years 2 months
Project Overview

An AI Conversation Intelligence that joins and records live meetings, captures real-time transcription, and delivers on-demand confidence. It runs NLP models in real-time to provide timely insights during meetings.

Responsibilities:
  • Built and led Kaia’s first ML team from scratch, hiring two NLP applied scientists and establishing core practices;
  • Designed and implemented machine learning infrastructure from the ground up within 7 months;
  • Set up secure virtual networks in Azure to ensure data compliance and security.
  • Deployed and configured Azure Machine Learning and Databricks instances, using Terraform for infrastructure-as-code and maintainability;
  • Revamped the Action Item detection system by training a new NLP model, improving precision from <70% to 90% while maintaining recall;
  • Shipped the improved model to production, integrating with Azure DevOps (CI/CD), deploying to Kubernetes, and setting up production monitoring.
Project Tech stack:
Golang
Microsoft Azure
PyTorch
Kubernetes
Docker
NLP
Data Science
Machine learning
Terraform
Databricks
MLflow
Datadog
Machine Learning Engineer
Feb 2017 - Oct 20178 months
Project Overview

The project involved a flagship instant messaging app available on web, iOS, Android, Windows, and macOS, serving over 1 billion monthly users. It enables one-on-one and group chats, as well as voice and video calls, media sharing, and interactive features like games, stickers, and disappearing messages.

Responsibilities:
  • Joined the team at a stage where automatic (contextual) sticker suggestions feature only worked in English - as an ML expert with Spanish fluency, was uniquely positioned to deliver Spanish support;
  • Took ownership of the data and training pipelines and shipped the feature within 5 months;
  • Further generalized the pipeline, and shortly after, the team shipped support for Portuguese and Thai.
Project Tech stack:
Python
Apache Hadoop
Machine learning
Principal Research Software Engineering Lead
Sep 2015 - Jun 20169 months
Project Overview

This was a research platform for the Computer Human Interactive Learning group. The research focus was the intersection of Machine Learning and Human Computer Interaction for building classification and entity extraction models. The platform was used to experiment with different models, algorithms, and UX/visualizations.

Responsibilities:
  • Proposed a re-architecture to build an SDK and desktop app, focusing on flexibility and simplicity and leveraging existing technology as much as possible (e.g., Git for model versioning);
  • Through a combination of technical and strategic discussions, Carlos led the team to consensus and drove the architecture and execution of the project over nine months. The result was a much simpler and flexible system that runs on a single machine. It enabled the partner engineering teams and researchers to customize it to their needs, allowing Carlos' team to focus on the core ML and HCI research questions.
Project Tech stack:
.NET
Machine learning
Git
C#
WPF

Education

2011
Applied Mathematics
Master's
2006
Computer Science
Master's
1999
Physics
Bachelor's

Languages

Spanish
Advanced
English
Advanced

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