I am a Software Engineer specializing in Cloud-Native Backends, Microservices, and Agentic Computing. I architect distributed systems that bridge the gap between Large Language Models and real-world execution. With a strong foundation in Mathematics 🎓, I build scalable infrastructures—from event-driven microservices to reactive AI interfaces—where agents operate with precision and resilience. 🤖☁️

• 🏗️   Microservices & Distributed Systems: Designing decoupled architectures using Django, Go, and FastAPI, focused on high availability and fault tolerance.
• 🤖   Agentic Computing: Architecting autonomous agents using PydanticAI and LangGraph, integrated into microservices for complex task execution.
• ☁️   AWS Cloud Architecture: Expert in AWS (ECS, RDS, S3, Lambda), implementing Infrastructure as Code (IaC) with Terraform and Kubernetes.
• ⚙️   System Orchestration: Specialist in event-driven patterns, memory layers (Redis/Postgres), and state management for multi-agent workflows.
• 🛡️   Reliability & Economy: Implementing Circuit Breakers, Semantic Caching (reducing costs by >40%), and PII filtering for safe autonomous operations.

• Omni-Bot Engine: A production-grade, multi-channel boilerplate for agentic systems, featuring intent routing and self-healing microservices.
• Ops-Pilot: (Open Source) A Go-native agent that autonomously audits and manages Linux environments via natural language.
• RAG-Umpire: (Open Source) An evaluation framework to test and validate the truthfulness of retrieval-augmented systems.

• 🏎️   Polyglot Microservices: Scalability strategies in Go vs. developer velocity in Django/FastAPI.
• ☁️   AWS Cost Optimization: Efficiently scaling LLM workloads and database instances.
• 📉   Token Economy: Optimizing the cost and performance of generative agents.
• 🔄   Agentic Handover: Strategies for human-in-the-loop and autonomous task transition.
• 🥁   Culture: Maracatu, Capoeira, and building systems that flow.