Resume

Senior ML Engineer · 10+ years in ML, Deep Learning, NLP & Computer Vision

Experience

Senior ML Engineer

Factored (factored.ai)

Aug 2024 – Present

Factored is an AI consulting firm co-founded by Andrew Ng, specializing in ML, data engineering, and scalable AI solutions. Currently providing ML and generative AI consulting for an S&P 600 client.

MLGenAIPython

Senior ML Engineer

Upflex (upflex.com)

Aug 2022 – Jul 2024

Developed and deployed ML models for pricing prediction, including a recommendation engine for base and product rates. Built a tier model for 100+ locations, a synthetic employee distribution model, and a PDF scraper with NLP capabilities to extract contract data.

Pricing MLNLPRecommender Systems

Deep Learning Consultant

VL Corrêa Tecnologia

Sep 2023 – Present

Built a RAG-based chatbot, computer vision solution for retail, and a fraud detection pipeline.

RAGComputer VisionFraud Detection

Deep Learning SME & Learning Facilitator

MITxPro

Aug 2023 – Feb 2024

Reviewed Portuguese translation of the Deep Learning program. Supervised cohorts of 40–50 students, graded assignments, conducted bi-weekly office hours, and provided individual tutoring.

Deep LearningTeachingPT Translation

Senior ML Engineer

On Deck (beondeck.com)

Nov 2021 – Jul 2022

Improved a recommender system for co-founder matchmaking. Designed an NLP scoring API, topic modeling of community Slack data, and an ML-based NPS predictor.

NLPDistilBERTSHAPRecommender Systems

Data Scientist Consultant

Charm.io

Sep 2021 – Oct 2022

Built PySpark pipelines to extract ResNet features from millions of brand images. Built a product taxonomy classification model for 5k+ labels.

PySparkResNetAWS EMRMLFlow

Head of Data Science

Awari

Apr 2020 – Aug 2021

Founding member of the data science department at an e-learning startup. Led monthly cohorts, developed course material, expanded the program internationally, and managed 30+ mentors.

LeadershipMLOpsTeaching

ML Consultant

Arc.dev / Codementor

Jan 2020 – Dec 2021

Multiple AI projects including a real estate valuation model (error reduced from 25% to 8%), NLP mentoring (Word2Vec, CNNs, LSTMs), and clustering analysis for climate data.

CatBoostMLFlowBERTDatabricks

Senior ML Mentor

Udacity

Jan 2016 – Dec 2021

Reviewed submissions and mentored 500+ students in ML and Deep Learning nanodegrees. Recorded webinars in both English and Portuguese. Promoted to auditor of other reviewers.

PyTorchTensorFlowTeaching

Business Intelligence Intern

Itaipu Hydroelectric Power Plant

Jan 2013 – Sep 2013

Developed BI solutions to extract insights from millions of measurements from the world's largest energy generator.

Education

Deep Learning Certificate — FastAI Part II

University of San Francisco

2019

Awarded a fellowship to attend in-person classes. Course taught by Jeremy Howard, past president of Kaggle.

MSc in Electrical Engineering

University of Campinas (UNICAMP)

2015 – 2017

ML and optimization applied to Non-Intrusive Load Monitoring (NILM). Proposed a new algorithm based on Mixed-Integer Linear Programming. Published in IEEE Journal.

Summer Research Program

Carnegie Mellon University

Jun – Sep 2014

Applied ML to classify methods for tracking maximum power efficiency in solar photovoltaic systems.

Exchange Program

Cal Poly San Luis Obispo

Sep 2013 – Jun 2014

Awarded by the Brazil Scientific Mobility Program. Courses in engineering, CS, and entrepreneurship.

BSc in Electrical Engineering

Western Paraná State University (UNIOESTE)

2009 – 2014

Dissertation on Business Intelligence applied to Itaipu Power Plant production data.

Skills

ML / DL

Scikit-learnTensorFlowPyTorchHuggingFaceFastAICatBoostXGBoostLightGBM

Data & MLOps

PandasNumPyPySparkAirflowDatabricksMLFlow

Cloud

AWS (EC2, S3, EMR, Lambda, Redshift)GCPSnowflake

Languages & Tools

PythonSQLAMPLMatlabDockerFastAPIGitStreamlitSelenium

Awards & Achievements

  • Top 4% Stack Overflow contributor in Python — over 3M people reached
  • Silver medal (top 1.3%) — Kaggle ASHRAE Energy Predictor competition
  • 3rd place — Chaordic Machine Learning Challenge (2016)
  • FastAI fellowship — University of San Francisco in-person program (2019)
  • One-year exchange program at Cal Poly SLO — Brazil Scientific Mobility Program (2013)