Philippines
Senior Full-Stack AI Engineer
Laude Lanoy Mikhil
Senior full-stack AI engineer with 10+ years, most recently working on the Simmie AI simulation platform.
Can start immediately
Laude Lanoy Mikhil is a senior full-stack AI engineer in the Philippines with 10+ years of experience. His recent work is Simmie AI, an AI-powered simulation platform, where he has worked across the whole stack: frontend, backend APIs, database operations, and AI service integrations.
AI tools have been in his development workflow for several years: ChatGPT, Claude, Cursor, and GitHub Copilot for coding, debugging, research, and testing, alongside OpenAI integrations inside production projects. The emphasis he names in his own work is the unglamorous one that keeps AI products alive: reliability, error handling, and monitoring.
He is straightforward about the edges of his toolkit: he has not used Muse yet, he does not claim experience he does not have, and he is open to trying it. He can start immediately.
Laude's links
Hire LaudeProduction platform · AI simulations
Simmie AI
Simmie is an AI-powered simulation platform: people practice difficult conversations with AI characters, on demand, and get feedback on what to improve, with Simmie Cue helping inside the conversation and Simmie Coach reviewing it after. The platform serves screening, onboarding, and upskilling, and its current front door is sales practice, coaching, and readiness.
Laude's work on it spans the whole stack: the frontend people see, the backend APIs behind it, database operations, and the AI service integrations that connect the simulations to the models. It is production AI, used by teams and enterprises, not a prototype.
AI engineering · Integrations and workflows
Integrations that hold up in production
Across his projects, Laude works with AI integrations and automated workflows, including OpenAI integrations in development projects and agent-based approaches to automating repetitive tasks.
His stated focus is the part of AI engineering that decides whether a product survives contact with real users: reliability, error handling, and monitoring. The demo is the easy half of AI work; his emphasis sits on the half that keeps running.
Range · Web and mobile
The wider stack: his GitHub
His GitHub, under the name Code Guru, holds 32 repositories, and its README describes a senior web and mobile full-stack practice in his own words: Django, Laravel, PHP, Node.js, ASP.NET, and Python on one side; React, Vue, Angular, Nuxt, and Next.js on the other; React Native, Flutter, Java, and Unity for mobile and beyond, plus scraping and automation.
The README also names his current directions: artificial intelligence, automation, chatbots, and trading bots, with deep learning and NLP as what he is learning now. It is the breadth behind the senior title on this page.