Pedro Orlando Acosta Pereira

Senior Software Engineer · Data Scientist · AI Engineer

I'm a seasoned software professional with years of experience building enterprise-grade applications from concept to production. I've led technical teams and served in executive roles including CTO, architecting scalable platforms across fintech, edtech, and e-commerce.

My expertise spans full-stack development, cloud architecture, classical and generative AI implementation, and engineering leadership. With an M.Eng. in Big Data and Data Engineering, I architect AI-driven solutions that solve complex business problems while maintaining enterprise scalability and governance standards.

I transform ideas into reality by delivering working software over extensive documentation, focusing on concrete results rather than theoretical possibilities. My approach emphasizes clear communication, rapid iteration, and measurable business impact.

Skills

Agile: SCRUM, Kanban, XP
Development process: Design Sprint, TDD, BDD, DDD
Software Practices: Software Design Principles, Refactoring, Design Patterns
Programming languages: JavaScript, Ruby, Python, Elixir, TypeScript, C#, PHP, Dart
Frameworks: Ruby on Rails, Next.js, Phoenix, Laravel
Libraries and SDK: React, Flutter
.NET: Windows Forms, ASP.NET (MVC & Core)
Cloud Architecture: Amazon Web Services, Microsoft Azure, Google Cloud Platform
Databases: PostgreSQL, MySQL, MS SQL Server, ChromaDB
Platforms as a Service (PaaS): Docker, Heroku, Vercel, Firebase, Gigalixir
Version Control Systems: Git, GitHub (CI/CD, Actions, Advanced Config), and GitLab (CI/CD, Basic Config)
Other: GraphQL, Tailwind CSS, Hotwire (Turbo + Stimulus), Gradio, Radix UI

AI Skills

Classical AI & Machine Learning: Machine Learning: Scikit-learn, RandomForest, XGBoost,...

Statistical Analysis: Statistical modeling, hypothesis testing, feature engineering

Supervised Learning: Classification, regression, ensemble methods

Unsupervised Learning: Clustering, dimensionality reduction, anomaly detection

Time Series Analysis: Forecasting, trend analysis, seasonal decomposition

MLOps: Model deployment, monitoring, versioning, A/B testing

Data Processing: Pandas, NumPy, data pipeline optimization
Generative AI & Deep Learning: LLM related: OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, AI Agents, LoRA, Fine-Tuning

Neural Networks: PyTorch, TensorFlow, deep learning architectures, transfer learning

Generative AI: GPT implementation, RAG architectures, vector databases, model adaptation

Computer Vision: CNN architectures, image processing, diffusion models

Natural Language Processing: Text processing, sentiment analysis, named entity recognition

AI Infrastructure: GPU optimization, model serving, embedding systems, MCP (Model Context Protocol)

AI Governance: Responsible AI practices, model monitoring, cost optimization, ethics

Pedro Orlando Acosta Pereira

Pedro Orlando Acosta Pereira

Senior Software Engineer · Data Scientist · AI Engineer

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