Pedro Henrique Rocha Moy
Verified Expert in Engineering
Data Scientist and Machine Learning Developer
Miami, FL, United States
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
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
Circana
- Worked with managers and engineers to understand the existing state of affairs in the AI pipeline to identify pitfalls and inefficiencies.
- Researched and delivered battle-tested strategies from minor immediate solutions to major long-term solutions to improve consistency and accuracy of the existing AI pipeline.
- Delivered the final AI design pipeline with robust measures in place to avoid critical business paths from being missed, resulting in a reduction in prompt sizes to over 90%.
Head of AI
Tech of Eden PBC
- Devised POC and 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 and provided leadership in close proximity to the CEO, overseeing business requirements, technology feasibility, and economic feasibility.
- Filled in the roles of leader and engineer to generate results, working alongside the PhD-level engineer, whom I oversaw on the technical side, and the CEO on the business side.
AI Consultant
Toptal Client
- Developed a prototype platform that automated LLC formation workflows, including a detailed regulatory study for Florida, reducing manual research time for new founders by well over 50%.
- Built a back-end LLM system that validated user inputs and flagged compliance gaps during the LLC creation process, ensuring accuracy of filings.
- Designed a domain-specific knowledge base and implemented an RAG pipeline to deliver precise, context-aware guidance to users.
AI Software Developer
Toptal Client
- Built a full-stack Django and React application from scratch that parsed contract requirement PDFs into structured suggestions and clarification questions, enabling teams to accelerate project scoping significantly.
- Engineered an autoscaling cloud infrastructure using ECS and IaC best practices to support stable, high-throughput processing of large procurement documents, ensuring near-zero downtime.
- Designed the end-to-end LLM architecture with OpenAI models and served as the primary expert for all LLM-related issues, improving extraction accuracy and capabilities, shaping model-driven workflows across both the Python and JavaScript stacks.
Lead Data Scientist
Self-employed
- Designed, implemented, and deployed different natural language processing models.
- Worked with stakeholders to understand use cases, the pathway to product development, and implementation using deployed models.
- Mentored and supported junior data scientists on the team.
Enterprise Lead Data Architect - Contractor
Toptal Client
- Handled the architecture, development, and automation of distributed computing pipelines and data storage in the cloud for the enterprise.
- Automated scalable infrastructure in the cloud to respond to development and consumer demand.
- Co-managed and supervised a team of engineers from designing and delegating tasks, mentoring, and overseeing work.
Enterprise Senior ETL and Data Engineer - Contractor
Toptal Client
- Designed, implemented, and deployed to production fully-fledged distributed ETL jobs in Spark/Scala API.
- Worked with various sources and sinks of data including desperate files, Hive tables, Mongo collections, and Kafka brokers.
- Served as the senior engineer and tech lead of the team strengthening engineering and development processes, improving software quality control, and helping design stories for sprints.
Hadoop Proof of Concept for Atmospheric Sciences Project - Contractor
Toptal Client
- Built a cluster from scratch, adhering to the client's needs to work with the home cluster.
- Designed and implemented generic and specific data architectures meeting the client's query complexity and performance needs.
- Built PySpark and Python software layers of abstraction to allow the client to build on top of the current infrastructure.
Research Data Engineer
Nicklaus Children’s Hospital
- Developed existing analytical and data workflows for users of R, Python, and Impala establishing best engineering practices.
- Provided ad hoc and systematically developed ETL and big data pipelines, validation, and integration of varying data sources.
- Liaised for the research department to IT and BI departments providing guidance and expertise on analytical and data needs.
Technical Advisor
Insight Data Science
- Worked with fellows and their data engineering projects on problem definition, systems architecture, and execution.
- Advised on technologies such as Spark, Kafka, Redis, HBase, Cassandra, and PostgreSQL.
- Conducted mock interviews with fellows on scalability concepts, algorithms, and CS fundamentals.
Senior Software Engineer
NexHealth
- Developed and deployed software to the client's site to perform data collection and server sync.
- Performed both database and web-based data integrations of electronic medical records back to NexHealth servers.
- Developed a smart SMS response system allowing the user to interact with NexHealth products via SMS.
Data Scientist
QuaEra Insights
- Served as the lead data scientist in a consulting project overseeing data management and modeling strategy.
- Used natural language processing to transform unstructured data into features and extract business intelligence.
- Built a recommendation engine as business rules potentially yielding savings on up to 50% of the business.
Data Engineering Fellow
Insight Data Science
- Built the themidgame-tube, a platform designed to discover YouTube influencers on brand names worldwide.
- Deployed Amazon’s EMR Spark with HBase processing and ingesting billions of data tuples.
- Attained linear scalability performance tested with up to 20 nodes.
Data Analyst
Cartesian
- Aided managed analytics efforts promoting best practices within batch workflows and data management.
- Conducted independent research into big data workflows considering data mining and BI integration.
- Built short data pipelines consuming APIs, transforming, loading, and exposing data connections to BI tools.
Data Analytics Engineer
Daktari Diagnostics
- Worked as the lead developer of mainstream data processing and data analysis applications in Python for Windows/Mac.
- Developed a calibration model for the Daktari CD4 testing device improving the system's accuracy by 20-30%.
- Deployed machine learning models embedded in standalone applications to end users for data classification.
Experience
Pastoral Conscience AI
https://rocha-moy-engineering-technology.github.io/pastoral_conscience_site/Architecture: Go back end with a hexagonal architecture, using the Gemini File Search API for RAG retrieval, Python and DSPy services for conscience checkers with model fallback, Next.js front end with real-time SSE progress updates, and PostgreSQL for data persistence. The multi-repo setup uses Honcho process management, along with structured documentation and spec-driven development.
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
University of Massachusetts Lowell - Lowell, MA
Skills
Libraries/APIs
PySpark, Hugging Face Transformers, Node.js, React, OpenAI API
Tools
ChatGPT, Amazon Elastic MapReduce (EMR), Mermaid, Claude Code, Codex
Languages
Python, Scala, SQL, JavaScript, Go, TypeScript 5
Paradigms
Distributed Computing, Parallel Programming, High-performance Computing (HPC), Model Context Protocol (MCP)
Storage
NoSQL, Data Integration, Data Pipelines, MongoDB, PostgreSQL, Redis
Frameworks
Spark, Apache Spark, DSPy, Next.js, Svelte, Tailwind CSS
Platforms
Amazon Web Services (AWS), Vertex AI, Google Cloud Platform (GCP), JVM
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), AWS 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
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