Hello, I'm
Lucas
Pacheco
AI / Software Engineer
About
I build production AI systems that solve real business problems: agents that get work done, retrieval grounded in company knowledge, and the evaluation that proves it works.
I'm an AI and software engineer who works across the whole life of an LLM product: designing the agent, connecting it to tools and data, and measuring whether it does its job. At OceanPact I build conversational agents and a Knowledge-Graph RAG platform. At Turing I design multi-agent benchmarks and the verifiers that grade them. I also contribute to the open-source project cognee. I speak Portuguese (native), English (fluent) and Spanish (intermediate).
- Location
- Rio de Janeiro, Brazil
- Education
- Computer Engineering @ UFRJ
- Status
- Open to opportunities
Projects
01 / 09
CSN Analytics
Manufacturing · ML
Vitzo
Commercial product · Co-Founder
ephemeral-context
RFC · Claude Code · open source
Skills
The stack I reach for when an LLM has to work in production.
Coding Agents & Orchestration
- Claude Code
- Coding agents
- Agent orchestration
- Multi-agent systems
- Spec-driven development
- Agent skills
- MCP
- Claude Agent SDK
- Claude API
LLM Systems
- Tool calling
- Programmatic tool calling
- Context engineering
- Context management
- Prompt caching
- Agent evaluation
- Decision models
- RAG
- GraphRAG
- OpenAI SDK
Languages
- Python
- Rust
- TypeScript
- JavaScript
- Go
- SQL
- C
- C++
- C#
- Java
- Kotlin
- Swift
Frameworks & Tools
- FastAPI
- Django
- React
- Next.js
- Node.js
- WebAssembly
- WebGPU
- vgpu
- LiteLLM
- LangChain
- LangGraph
- Cloud Run
Databases
- PostgreSQL
- pgvector
- LanceDB
- Qdrant
- Neo4j
- FalkorDB
- Redis
- Supabase
- DuckDB
Experience
Each role a step closer to the model: from lab automation to production agents and the benchmarks that grade them.
2026 — Present
active
AI SwarmBench Engineer (Contract)
Design multi-agent benchmark tasks that evaluate coordination in LLM agent swarms. Write verifiers that automatically grade agent outputs, and audit agent trajectories for correctness and quality.
2026 — Present
active
AI Developer
Built the conversational AI agent for a geospatial operations platform: agent loop with parallel tool-calling over ~90 typed tools and real-time SSE streaming with resume-after-reload (Python, FastAPI, OpenAI SDK, Postgres). Built a prompt-regression benchmark and logging to measure agent behavior across prompt changes. Built a production Knowledge-Graph RAG platform that ingests PDF/DOCX, extracts entities and relationships via LLMs, and persists them to a knowledge graph + vector store — polyglot persistence (pgvector, Neo4j, Redis), LiteLLM gateway, per-user ACLs (React 19, FastAPI).
2024 — 2025
AI & Automation Python Developer
Built and maintained Python tools automating optical-network monitoring and incident handling, including log parsing and reporting with Pandas. Built a local RAG chatbot giving the support team access to internal documentation and procedures.
2023 — 2024
Software & Automation Researcher
Developed sensor-based automation systems and algorithms for real-time data processing at the Brazilian Center for Physics Research.
Let's work together
Open to new opportunities and collaborations. Write here, or reach me directly.