Senior Software Engineer | AI & Systems Architecture | TypeScript · Python · Go
lgpelin92@gmail.com · luisguilher.me · github.com/lguibr · linkedin.com/in/lguibr
Senior Software Engineer focused on AI systems, scalable backend architecture, and real-time pipelines. I design and ship production-grade LLM systems, optimize high-throughput services, and lead teams across AI, frontend, and backend initiatives. Experienced in logistics, fintech (crypto), and complex multi-platform products.
Languages: TypeScript (Node/React), Python, Go AI/ML: LLMs, PyTorch, TensorFlow.js, Reinforcement Learning (MCTS / AlphaZero) Infrastructure: AWS, GCP, Terraform, Docker, Kubernetes Testing: Playwright, Jest, PyTest
Jul 2024 – Nov 2025 · Remote
Logistics automation platform using LLMs for multi-party negotiation.
TypeScript, Python, Django, React, LangChain, AWS (Lambda, ECS, RDS, SQS), Docker, PostgreSQL, OCR, OpenAI & Claude toolchains
Apr 2022 – Apr 2024 · Remote
Institutional liquidity network for crypto derivatives.
TypeScript, React, React Native, Electron, Go, Kafka, Docker, Node.js, Playwright, CSS/HTML, Linux
May 2020 – Apr 2022
TypeScript, Vue.js, Next.js, React, Electron, Koa, Express, GraphQL, Strapi, PostgreSQL, MySQL, Redis, Webpack, GCP, Terraform
Jul 2019 – May 2020
Led the frontend/UI team. Defined technical requirements, mentored developers, and delivered scalable SPAs using React, TypeScript, and GraphQL.
Aug 2018 – Jul 2019
Full-stack development for a new SPA platform using AngularJS, Laravel, and MySQL.
Real-time Pong/Breakout hybrid with multi-room support. Backend written in Go using a custom Actor Model (Bollywood) enabling high concurrency and zero dependencies.
AI agent trained to play a custom puzzle game using MCTS, PyTorch, and distributed self-play with Ray. Includes async training, stats logging, and exportable ONNX inference models.
Real-time pose evaluation app for dance/yoga/martial arts. Runs fully in-browser using TensorFlow.js and BlazePose for body tracking and scoring.
Senior Software Engineer | AI & Systems Architecture | TypeScript · Python · Go
lgpelin92@gmail.com · luisguilher.me · github.com/lguibr · linkedin.com/in/lguibr
Senior Software Engineer focused on AI systems, scalable backend architecture, and real-time pipelines. I design and ship production-grade LLM systems, optimize high-throughput services, and lead teams across AI, frontend, and backend initiatives. Experienced in logistics, fintech (crypto), and complex multi-platform products.
Languages: TypeScript (Node/React), Python, Go AI/ML: LLMs, PyTorch, TensorFlow.js, Reinforcement Learning (MCTS / AlphaZero) Infrastructure: AWS, GCP, Terraform, Docker, Kubernetes Testing: Playwright, Jest, PyTest
Jul 2024 – Nov 2025 · Remote
Logistics automation platform using LLMs for multi-party negotiation.
TypeScript, Python, Django, React, LangChain, AWS (Lambda, ECS, RDS, SQS), Docker, PostgreSQL, OCR, OpenAI & Claude toolchains
Apr 2022 – Apr 2024 · Remote
Institutional liquidity network for crypto derivatives.
TypeScript, React, React Native, Electron, Go, Kafka, Docker, Node.js, Playwright, CSS/HTML, Linux
May 2020 – Apr 2022
TypeScript, Vue.js, Next.js, React, Electron, Koa, Express, GraphQL, Strapi, PostgreSQL, MySQL, Redis, Webpack, GCP, Terraform
Jul 2019 – May 2020
Led the frontend/UI team. Defined technical requirements, mentored developers, and delivered scalable SPAs using React, TypeScript, and GraphQL.
Aug 2018 – Jul 2019
Full-stack development for a new SPA platform using AngularJS, Laravel, and MySQL.
Real-time Pong/Breakout hybrid with multi-room support. Backend written in Go using a custom Actor Model (Bollywood) enabling high concurrency and zero dependencies.
AI agent trained to play a custom puzzle game using MCTS, PyTorch, and distributed self-play with Ray. Includes async training, stats logging, and exportable ONNX inference models.
Real-time pose evaluation app for dance/yoga/martial arts. Runs fully in-browser using TensorFlow.js and BlazePose for body tracking and scoring.
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