
Hi, I’m Syan Cordeiro. Full-stack engineer with 11+ years of experience. I build and lead large-scale products using mainly Laravel and Vue.js
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
alvorada_real_estate
April 6, 2026 – Present
Alvorada Property Research System — AI-powered real estate platform with LangGraph agentic pipelines, Neo4j GraphRAG similarity search, and structured LLM output via Zod. Built with Fastify, Vue 3, and PostgreSQL.
View Projectpokemon-training-center
March 22, 2026 – Present
AI-powered Pokemon Training Center where trainers chat with an LLM receptionist to enroll Pokemon, book type-matched lessons from iconic gym leaders, and manage their training schedule — built on LangGraph, OpenRouter, and the Vercel AI SDK.
View Projectteam-sheep-ai
March 12, 2026 – Present
RAG-powered fitness AI: Next.js, OpenRouter, pgvector. Upload docs, chat with your knowledge base.
View Projectthe-speakeasy-chatbot
February 26, 2026 – Present
The Speakeasy — a 1920s barkeep chatbot in your browser. Ask for cocktail ideas from what you have, substitutions with ratios, scaling for a crowd, or help fixing a drink. Uses Chrome’s on-device Prompt API (Gemini Nano); no backend, no API keys. Dark speakeasy-style UI, streaming responses.
View Projectdr_nala_breed_recommendation
February 22, 2026 – Present
Dr. Nala’s Breed Recommendations is an AI-first web app focused on training and serving a TensorFlow model for dog breed matching. It generates and stores model artifacts in PostgreSQL, syncs trained models to the client, and combines ML inference with questionnaire-based trait scoring to deliver fast, explainable, ranked breed recommendations.
View Projectalvorada_technical_test
November 21, 2025 – Present
A production-style technical challenge built using pure PHP (no frameworks) to simulate a real-world property management system enhanced with AI-powered scoring and ranking capabilities.
View Projectycode-test-assignment
March 6, 2023 – March 9, 2023
ycode-test-assignment — GitHub repository
View Projectfullstack-challenge
March 5, 2023 – March 9, 2023
fullstack-challenge — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, showcasing a strong interest in AI/ML applications and full-stack development. While many projects involve frontend technologies, the significant presence of PHP and backend work suggests a broader interest than a pure frontend role. This might indicate a good fit for a team that values versatile developers, but could also suggest a potential misalignment if the target role is strictly frontend-focused without opportunities for full-stack contribution. The projects are all personal, which demonstrates self-motivation and passion.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to conceptualize and execute complex ideas, which implies strong problem-solving and initiative. However, without direct assessment data, specific soft skills like teamwork or communication cannot be definitively evaluated.