Jose Luis Moreira Arruda
Verified Expert in Engineering
Data Scientist and Python Developer
São José dos Campos - State of São Paulo, Brazil
Toptal member since April 19, 2023
Jose is a senior AI/ML engineer who's experienced across multiple sectors, including eCommerce, healthcare, and fintech. He is an expert in developing strategic projects and building AI/data products. He easily translates pain points and business goals into tailored AI products and designs. He deploys machine learning and deep learning models for time series, CV, and NLP and integrates them into company systems on the cloud. Jose has led data science projects while mentoring colleagues.
Portfolio
Experience
- Data Science - 8 years
- Artificial Intelligence (AI) - 7 years
- Python - 7 years
- Machine Learning - 7 years
- Solution Architecture - 6 years
- Cloud Engineering - 6 years
- Recommendation Systems - 3 years
- AI Agents - 2 years
Preferred Environment
Python, Pandas, Linux, PyTorch, SQL, Artificial Intelligence (AI), Google Cloud Platform (GCP), Azure, AI Agents, AI Model Training
The most amazing...
...projects I've worked on were an end-to-end Agentic AI Sales Assistant and DL recommendation system to rank fashion eCommerce products.
Work Experience
Senior AI Engineer and Cloud Architect
Outdoor Living Supply - Main
- Developed an AI agent connected to company sources and databases to assist sales and business teams with product recommendations, information, and overall business insights, combining structured data with natural conversational flow.
- Designed, architected, and deployed the cloud architecture in Azure with microservices and observability.
- Delivered a retrieval augmented generation and agent capabilities system capable of dealing with multimodal data and file formats from PDFs to images, videos, etc.
Senior ML Engineer
Flinks
- Designed and developed ML systems to meet stakeholders' requirements and strategic business goals for solving payments and open banking. Designed and built ML systems to mitigate fraud risks in the payment sector.
- Developed systems using OpenAI LLM capabilities to improve transactional data enrichment, ensuring robustness. Designed and deployed scalable ML systems using cloud resources on GCP and AWS.
- Architected a system to improve web scraping automation using ML and computer vision models.
Senior Data Scientist
Farfetch
- Led the data science development of data-driven initiatives and recommendation systems toward company strategic goals, such as increasing profitability and user engagement, while collaborating closely with product and engineering teams.
- Delivered multiple data analyses to better understand customers, products, and their relations. Supplied multiple POCs to provide better clarity on commercial and fashion requirements.
- Implemented deep learning models for information retrieval by extracting good representations from product images, product descriptions, user interactions, and other parameters.
- Monitored live systems, fixed bugs, and implemented production-level features to current systems tested and released on production.
Head of AI | Senior Data Scientist
J!Quant
- Delivered more than five strategic data science projects as a principal contributor, from conception to all phases of development and delivery.
- Drove research roadmaps to deliver state-of-the-art (SOTA) solutions and build AI products. All AI products that I created are based on computer vision, NLP, time-series forecasting, and multi-modal representation learning.
- Built a data science team, which included recruiting, teaching, and mentoring new data scientists. Taught data science to teams in different companies and individual professionals.
- Assessed different companies' data-driven opportunities, making commercial proposals and selling data science projects to big companies.
Research Intern
Werkzeugmaschinenlabor WZL der RWTH Aachen
- Created programming solutions to analyze manufacturing data, signal processing, drive insights, and develop systems to improve production quality.
- Developed two industrial research consulting projects to improve the quality and efficiency of hobbing and milling processes.
- Built analytical, geometric, and statistical models to simulate industrial processes.
Experience
Multi Agent for AI Data Analyst, Sales Assistant, and Company Chatbot
Personalized Ranking System for Two-sided Marketplace
Gold Medal at the International Forecast Competition
https://www.kaggle.com/c/m5-forecasting-uncertaintyThe competition task was to forecast a daily demand distribution in quantiles for each Walmart product and three Walmart stores. This was a combination of over 40,000 time series.
Since I wanted to make our solution more general and practical and turn it into a product, I developed a unique end-to-end deep learning model based on recent advances in transformers for time-series forecasting instead of multiple ensembles or other unsuitable models for production approaches. It was the only model in the top 10 not using competition hacks.
Self-supervised Computer Vision Model for Fashion
SenseAI | Predicting and Monitoring Beer Quality for the World's Largest Brewery
Our system also performs simulations, giving real-time visibility to the brewers and a way to act in real time during the process and improve product quality. It was deployed in the Azure/Databricks environment. The project was deployed in Brazilian breweries and mainly impacted the improvement of beer quality and waste reduction, saving over $1 million per year.
AI-powered Gift Recommendations
Education
Bachelor's Degree in Mechanical Engineering
Aeronautics Institute of Technology - São José dos Campos, São Paulo, Brazil
Progress Toward Master's Degree in Deep Learning and Machine Learning
RWTH Aachen University - Aachen, Germany
Certifications
Deep Learning Specialization
Deep Learning.AI | via Coursera
Skills
Libraries/APIs
Pandas, PyTorch, Scikit-learn, Keras, OpenAI API, REST APIs, NumPy, TensorFlow, PySpark, MoviePy
Tools
Jupyter, GitHub, Apache Airflow, Algorithm Design, Claude, Microsoft AI, Microsoft Power BI, Azure OpenAI Service, Amazon SageMaker, MATLAB, DeepSeek
Languages
Python, SQL, C, Snowflake
Frameworks
Streamlit, LangGraph, Agentic Frameworks, Spark, Flask, Django
Paradigms
Rapid Prototyping, API Architecture, Agile Software Development, Automation
Platforms
Azure, Amazon Web Services (AWS), Vertex AI, Docker, Jupyter Notebook, Linux, Google Cloud Platform (GCP), Ollama, Kubernetes, Azure Service Fabric, Azure AI Studio, Databricks
Storage
PostgreSQL, Google Cloud, Data Pipelines, Amazon S3 (AWS S3), Graph Databases, Document Databases, NoSQL, Neo4j
Other
Deep Learning, Computer Vision, Natural Language Processing (NLP), Machine Learning, Recommendation Systems, Convolutional Neural Networks (CNNs), Explainable Artificial Intelligence (XAI), Artificial Intelligence (AI), Data Scientist, Recurrent Neural Networks (RNNs), eCommerce, Time Series, Data Science, Transformer Models, Time Series Analysis, Data Visualization, Data Analytics, Inventory Management, Data Interpretation, Data Analysis, Forecasting, Large Language Models (LLMs), Supervised Learning, Generative Artificial Intelligence (GenAI), Statistical Analysis, Regression Modeling, Data Modeling, Algorithms, DBSCAN, Hierarchical Clustering, Clustering Algorithms, Clustering, K-means Clustering, Unstructured Data Analysis, LangChain, OpenAI GPT-4 API, A/B Testing, Architecture, Prompt Engineering, Demand Planning, AI Consulting, Machine Learning Operations (MLOps), Optimization Algorithms, AI-enabled Search, Leadership, Cloud, Vector Databases, OpenAI, icr, APIs, Supply Chain, Data Engineering, Data Pipelines, ETL, Data Wrangling, SQL, Data Visualization, Python, Artificial Intelligence (AI), Azure, Cloud, Data Analysis, Machine Learning, Google Cloud Platform (GCP), Amazon Web Services (AWS), FastAPI, Cloud Architecture, Data Cleansing, Deep Neural Networks (DNNs), Google Cloud Architecture Framework, Cloud Engineering, AI Agents, AI Model Training, Technical Leadership, Hugging Face, Software Architecture, Agentic AI, ElevenLabs Solutions, Distributed Cloud, Containerization, Fine-tuning, Backtesting, Time Series Forecasting, Chatbots, Speech-to-Text (STT), AI Chatbots, Text Analytics, Text Classification, Word Embedding, Fintech, Semantics, Collaborative Filtering, Solution Architecture, Vector Search, Sales Forecasting, Demand Forecasting, Inventory, Trend Forecasting, Image Processing, Azure Blob Storage, Retail Technology, API Integration, Cloud Platforms, Workflow Automation & System Integration, Workflow Automation, Agentic Coding, Azure AI Services, LLM Integration, AWS Bedrock AgentCore, Statistics, Sequence Models, Neural Networks, Self-supervised Learning, Generative Pre-trained Transformers (GPT), Optical Character Recognition (OCR), Data Engineering, Supply Chain Management (SCM), Data Build Tool (dbt), Reinforcement Learning, Open-source LLMs, Gemini, Retrieval-augmented Generation (RAG), Meta Llama, Large Language Model Operations (LLMOps), Logistics, Anthropic, Web Scraping, Geospatial Data, GitOps, Big Data, NLU, Full-stack Development, Topic Modeling, Speech Recognition, Azure Cognitive Search, Programming, Simulations, QA Testing, Fourier Analysis, Path Optimization, Semantic Kernel (SK)
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