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Hi, I am Lucas

Lucas Burna

Machine Learning Engineer at Mutt Data

I am a Machine Learning Engineer with expertise in AI and software engineering. I specialize in developing and optimizing ML models from data gathering to deployment, with experience in conversational AI, computer vision, and MLOps. Focused on efficiency and impact, I turn complex problems into actionable solutions while staying current with emerging technologies.

Communicator
Team Work
Hard Working

Skills

Projects

Car Safety predictor
Car Safety predictor
Creator Jun 2024 - Jul 2024

This project implements a complete MLOps pipeline for a machine learning scikit-learn model using Python

LTSM stock forecasting
LTSM stock forecasting
Creator Jul 2024 - Aug 2024

A complete and customizable stock forecasting implementation using LTSM models.

Chatbot
Chatbot
Owner Aug 2024 - Sept 2024

A conversational chatbot using Meta-Llama-3-8B as base model, integrated with Langchain and LlamaIndex for enhanced data retrieval and interaction.

Experiences

1
Mutt Data

Jan 2025 - Present

Remote

Mutt Data is a technology company that offers machine learning and data science solutions to businesses.

Machine Learning Engineer

Jan 2025 - Present

Responsibilities:
  • Led the productization of ML models by implementing MLops best practices, enhancing model performance, reliability, and scalability for client use cases.
  • Bridged Data Science and Engineering roles by managing model lifecycle optimization, infrastructure orchestration, and data governance, ensuring seamless integration.
  • Fostered innovation by researching and deploying emerging technologies, contributing to internal knowledge sharing and industry-leading AI/ML practices.

Scale AI

Feb 2023 - Jun 2024

Remote

Scale provides labeled data for training AI applications, leveraging enterprise data to customize generative models. Its platform offers tools to collect, curate, and annotate data, while also optimizing and evaluating models to ensure AI performance tailored to business needs.

Software Engineer Freelance

Feb 2023 - Jun 2024

Responsibilities:
  • Improved chatbot efficiency by delivering high quality code for conversational AI systems, resulting in increased user satisfaction and response coherence.
  • Enhanced dataset quality by collaborating with cross-functional teams to create high-quality datasets, increasing model accuracy.
2

3
Zowl Labs

Aug 2021 - Feb 2023

Buenos Aires, AR

Zowl Labs is a recognized startup for AI-based health diagnosis in professional enviroments

Computer Vision Developer

Aug 2021 - Feb 2023

Responsibilities:
  • Accelerated project workflow by overseeing the entire lifecycle of computer vision models, from data collection to deployment
  • Optimized model performance by designing and implementing a physical prototype for a computer vision experiment setup, ensuring precise evaluation conditions.
  • Delivered state-of-the-art research insights monthly, leading to continuous innovation and improved project outcomes

Education

Electronic Engineering
Extracurricular Activities:
  • Machine Learning (Introductory course): Covered mathematical and computational foundations.
  • Blockchain Project: Developed simplified crypto coins using C++.
  • Mobile robots course: Paradigm of control mobile robots, bayesians filters, SLAM and trajectory planning

Accomplishments

Databricks Certified Associate Machine Learning
Databricks March 2025

The Databricks Certified Machine Learning Associate exam evaluates the ability to perform end-to-end basic machine learning tasks on Databricks, including data exploration, feature engineering, model training, tuning, evaluation, deployment, and use of tools like AutoML, Unity Catalog, and MLflow.

Effective MLOps - Model Development

Principled Machine Learning workflows for model development

AWS Educate Introduction to Cloud 101
AWS Nov 2024

Introduction to Cloud

AI Agents in LangGraph

Build agentic AI workflows using LangChain’s LangGraph and Tavily’s agentic search.

Machine Learning

Short course on the powerful and extensible usage of LangChain framework, using prompts, parsing, memory, chains, question answering, and agents.