Pedro Henrique Rocha Moy
Verified Expert in Engineering
Data Scientist and Machine Learning Developer
Belo Horizonte - State of Minas Gerais, Brazil
Toptal member since April 25, 2019
Pedro is a technical leader in data science and engineering with experience building data pipelines and ML/AI systems focused on governance and accountability. He delivers impact through agentic solutions that combine domain expertise, agent design, and data and RAG pipelines to transform requirements into consistent, verifiable, and accurate DE/DS/AI systems. Pedro is experienced in agentic development, full-stack prototypes, and products agnostic to stack and cloud at any scale.
Portfolio
Experience
- Machine Learning - 6 years
- Data Science - 6 years
- Data Engineering - 4 years
- Artificial Intelligence (AI) - 3 years
- Large Language Models (LLMs) - 2 years
- Retrieval-augmented Generation (RAG) - 2 years
- AI Agents - 2 years
Preferred Environment
Claude Code, Codex, Google Antigravity, Cursor AI
The most amazing...
...things I've built are trading systems. With a limited view of the world, decision-making takes place on ever-changing and adapting models of reality.
Work Experience
AI Advisor
Toptal Client
- Partnered with managers and engineers to assess the current state of the company's AI pipeline, surfacing its pitfalls and inefficiencies.
- Researched and delivered battle-tested strategies, from quick wins to major long-term initiatives, improving the consistency and accuracy of the existing AI pipeline.
- Delivered the final AI pipeline design with robust safeguards against missing critical business paths, cutting the size of the AI's instructions by over 90%.
Head of AI
Toptal Client
- Devised the proof of concept (POC) and minimum viable product (MVP) strategy and documentation for a new AI-driven technology.
- Designed and oversaw a series of case studies and experiments that culminated in a successful POC.
- Drove the POC and MVP work in direct partnership with the CEO, overseeing business requirements, technical feasibility, and economic feasibility.
- Operated as both leader and hands-on engineer to generate results, directing a PhD-level engineer on technical execution while aligning business strategy with the CEO.
AI Consultant
Toptal Client
- Delivered a prototype platform that automated LLC formation workflows, grounded in a detailed regulatory study for Florida, cutting manual research time for new founders by over 50%.
- Built an AI-driven validation step that vetted user inputs and flagged compliance gaps during the LLC creation process, ensuring the accuracy of filings.
- Designed a domain-specific knowledge base and an intelligent AI search system that delivered precise, context-aware guidance to users.
AI Software Developer
Toptal Client
- Built from scratch a platform that converted contract requirement documents into structured suggestions and clarification questions, enabling teams to significantly accelerate project scoping.
- Engineered self-scaling cloud infrastructure that sustained stable, high-throughput processing of large procurement documents with near-zero downtime.
- Owned the end-to-end AI architecture and served as the primary expert on all AI matters, improving extraction accuracy and capabilities while shaping model-driven workflows across the full product.
Lead Data Scientist
Deloitte Contractor
- Designed and delivered multiple natural language processing models through to production deployment.
- Partnered with stakeholders to define use cases and chart the pathway from deployed models to product development and implementation.
- Mentored and developed the junior data scientists on the team.
Enterprise Lead Data Architect
Toptal Client
- Owned the architecture, development, and automation of the enterprise's cloud data platform, spanning distributed processing pipelines and data storage.
- Delivered automated, scalable cloud infrastructure that responded elastically to development and consumer demand.
- Co-managed and supervised a team of engineers end to end, from designing and delegating tasks to mentoring and overseeing delivery.
Enterprise Senior ETL and Data Engineer
Toptal Client
- Owned the design and production delivery of the company's large-scale distributed data processing pipelines.
- Integrated data across disparate sources and destinations, from raw files and warehouse tables to document collections and real-time streams.
- Served as the team's senior engineer and tech lead, strengthening engineering processes, raising software quality control, and shaping sprint planning.
Hadoop Proof of Concept for Atmospheric Sciences Project
Toptal Client
- Set up the framework for massive distributed computing on the client's existing in-house cluster.
- Designed and implemented both general-purpose and specialized data architectures that met the client's query complexity and performance needs.
- Delivered accessible software layers that let the client's own teams build on top of the new infrastructure.
Research Data Engineer
Nicklaus Children's Hospital
- Advanced the research department's analytical and data workflows, establishing engineering best practices across its user base.
- Delivered both ad hoc and systematic big data pipelines, including validation and integration of varied data sources.
- Represented the research department to the IT and business intelligence departments, guiding decisions on analytical and data needs.
Technical Advisor
Insight Data Science
- Advised program fellows on their data engineering projects across problem definition, systems architecture, and execution.
- Guided technology selection and architecture for distributed data platforms suited to each project's scale and goals.
- Coached fellows through mock interviews covering scalability concepts, algorithms, and computer science fundamentals.
Senior Software Engineer
NexHealth
- Developed and deployed software at client sites to automate data collection and server synchronization.
- Integrated electronic medical records from client systems back to company servers across both database and web channels.
- Created a smart text-message response system that let users interact with the company's products entirely via SMS.
Data Scientist
QuaEra Insights
- Led data science for a consulting engagement, overseeing data management and modeling strategy.
- Applied natural language processing to turn unstructured data into actionable business intelligence.
- Built a recommendation engine, expressed as business rules, that determined the product was unnecessary in 50% of cases, unlocking substantial cost savings.
Data Engineering Fellow
Insight Data Science
- Built themidgame-tube, a platform designed to discover YouTube influencers for brands worldwide.
- Deployed a cloud-based big data platform that collected and processed billions of data records.
- Proved linear scalability in performance testing across a cluster of up to 20 machines.
Data Analyst
Cartesian
- Supported managed analytics engagements, promoting best practices in batch workflows and data management.
- Conducted independent research into big data workflows, spanning data mining and business intelligence integration.
- Built lightweight data pipelines that gathered, transformed, and delivered external data into business intelligence tools.
Data Analytics Engineer
Daktari Diagnostics
- Served as lead developer of the company's primary data processing and data analysis applications for desktop platforms.
- Developed a calibration model for the company's CD4 diagnostic device, improving system accuracy by 20-30%.
- Shipped machine learning models embedded in standalone end-user applications for automated data classification.
Experience
Pastoral Conscience AI
https://rocha-moy-engineering-technology.github.io/pastoral_conscience_site/Education
Executive MBA in Business Administration
University of Miami - Miami
Master's Degree in Computer Science (Machine Learning)
Georgia Institute of Technology - Atlanta, GA
Master's Degree in Earth Science and Engineering (Geophysics)
King Abdullah University of Science and Technology - Saudi Arabia
Bachelor's Degree in Mechanical Engineering (Math Minor)
University of Massachusetts Lowell - Lowell, MA
Skills
Libraries/APIs
PySpark, Hugging Face Transformers, Node.js, React, OpenAI API, REST APIs
Tools
ChatGPT, Amazon Elastic MapReduce (EMR), Mermaid, Claude Code, Codex, Amazon Elastic Container Service (ECS), Impala
Languages
Python, Scala, SQL, JavaScript, Go, TypeScript 5
Paradigms
Distributed Computing, Parallel Programming, High-performance Computing (HPC), Model Context Protocol (MCP), ETL, Business Intelligence (BI)
Storage
NoSQL, Data Integration, Data Pipelines, MongoDB, PostgreSQL, Redis, Apache Hive, HDFS, Data Validation, HBase, Cassandra
Frameworks
Spark, Apache Spark, DSPy, Next.js, Svelte, Tailwind CSS, Django, Hadoop
Platforms
Amazon Web Services (AWS), Vertex AI, Google Cloud Platform (GCP), JVM, Docker, Apache Kafka
Other
Natural Language Processing (NLP), Machine Learning, Data Science, Data Engineering, Artificial Intelligence (AI), Algorithms, Algorithmic Trading, Forecasting, Numerical Optimization, Sentiment Analysis, Distributed Systems, Options Trading, Web Scraping, Simulations, Data Analytics, Software Development, Statistical Analysis, AI Agents, Retrieval-augmented Generation (RAG), Agentic AI, Data Analysis, Data Modeling, APIs, Reinforcement Learning, Probability Theory, Big Data, Software Architecture, Scientific Computing, Large Language Models (LLMs), Amazon Bedrock AgentCore, OpenAI, Prompt Engineering, Small Language Models (SLMs), Transformers, Hugging Face, Knowledge Graphs, Technical Leadership, AI Agent Orchestration, Geophysics, Statistical Process Control (SPC), Design of Experiments (DOE), Experimental Design, Business Law, Tax Accounting, B2C Marketing, Fine-tuning, Gemini API, FastAPI, Server Sent Events (SSE), Reinforcement Learning from Human Feedback (RLHF), ChatGPT API, ChatGPT Prompts, OpenAI GPT-4 API, Google Antigravity, Cursor AI, AI Architecture, Business Services, Product Strategy, Vector Databases, Document Processing, Regulatory Compliance, Infrastructure as Code (IaC), Autoscaling, Full-stack Development, Model Deployment, Stakeholder Management, Cloud Infrastructure, Team Leadership, Code Review, Data Architecture, R Programming, Web Development, Electronic Health Records (EHR), Recommendation Systems, Feature Engineering, Data Management, EMR, Data Mining, Statistical Modeling, Calibration, Data Classification, Medical Devices, Data Processing
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