🤖 backend ai engineer intern @ flyrank ai · ⚡ building rag systems · 🎓 cs @ dlsl, june 2027 · 📍 batangas city, ph

hey, i'm shana.

ai engineer building rag systems and llm-powered products.

backend ai engineer intern @ flyrank ai · cs @ de la salle lipa '27

I build products at the intersection of software and machine learning — from clean frontends to LLM-powered backends using RAG pipelines and vector search.

↓ RESUME.PDF
Shana Czane Cruzat

Shana Czane Cruzat

rag systemsllm backendsfull-stack
Banaba South, Batangas City

01 // ABOUT

who am i?

BIO

ai engineer specializing in rag pipelines and retrieval systems. i've shipped three rag applications — contract analysis, an ai library assistant, and a bilingual recitation coach (top 10, acm techsprint 2026) — and i'm currently building backend ai systems as an intern at flyrank ai. my full-stack foundation (next.js, typescript, fastapi) means i ship the whole product, not just the model layer.

outside of that, i lead frontend development for de la salle lipa's aws learning club.

EDUCATION

De La Salle Lipa · June 2027

Bachelor of Computer Science

02 // PROJECTS

things i've built

Contract Assistant

2026 – Ongoing

A full-stack AI application that analyzes contracts, detects red flags, extracts key clauses, and answers questions in plain language using RAG and vector embeddings.

  • Built a RAG pipeline with LangChain and Pinecone, chunking contract documents into 500-token segments (50-token overlap) for semantic search.
  • Developed a FastAPI backend with 6 REST endpoints that processes uploaded PDFs, generates automatic contract analysis with red flag detection, and answers natural language questions using conversation memory.
  • Used Pinecone for vector search and Supabase for conversation history, messages, and contract metadata.

TECH STACK

Next.jsTypeScriptFastAPIPythonLangChainPineconeSupabase

LaSallia

2026 – Ongoing

An AI-powered library assistant for De La Salle Lipa that combines rule-based logic with NLP to help users discover books through personalized recommendations and a real-time catalog.

  • Built a hybrid AI pipeline combining a rule-based engine, TF-IDF + Cosine Similarity NLP layer, and RAG with GPT-4o-mini for intelligent library query handling and personalized book recommendations.
  • Separated all AI logic into a FastAPI Python backend serving a Next.js 16 frontend, with Supabase handling real-time catalog availability and Google OAuth restricted to @dlsl.edu.ph accounts.
  • Designed a QR-based borrowing and return workflow with automated due date notifications, overdue alerts, and role-based access control for Guest, Student/Faculty, and Librarian users.

TECH STACK

Next.jsTypeScriptFastAPIPythonSupabaseTailwind CSS
🏆 top 10 finalist — acm techsprint 2026

Dunong

2026

An AI-powered recitation coach that helps Filipino students build oral confidence through bilingual speech practice with judgment-free, real-time feedback.

  • Built a Node.js/Express backend with 11 API endpoints, including an AI vision pipeline using Llama 4 Scout (via Groq) to scan printed learning modules through the camera and extract text for practice.
  • Implemented four escalating recitation modes — Read-Aloud, Paraphrase, Cold Call, and Stand & Deliver — coached and scored on accuracy, clarity, and confidence using Llama 3.3 70B and Whisper Large V3 Turbo.
  • Designed a privacy-first, low-bandwidth experience across 10 screens, with on-device text-to-speech and no image or audio storage.

TECH STACK

ReactTypeScriptViteTailwind CSSNode.jsExpressGroq API

FurSure

2024 – 2026

A full-stack pet care service platform connecting pet owners with service providers across Batangas, Philippines.

  • TODO — describe FurSure's AI feature here (what it does, which model/API it uses).
  • Implemented role-based access control for three user types — Pet Owner, Service Provider, and Admin — with Supabase Auth.
  • Shipped 25 pages and 15 API routes across the owner, provider, and admin dashboards, backed by 48 reusable components.
  • Replaced mock dashboard data with live Supabase queries and integrated document verification workflows for service providers.

TECH STACK

Next.jsTypeScriptSupabaseTailwind CSS

03 // SKILLS

what i work with

AI ENGINEERING

RAGLangChainPineconeVector SearchOpenAI APIGroqWhisperTF-IDFEmbeddingsFastAPIAWSAmazon BedrockAmazon SageMaker

BACKEND & DB

Node.jsExpressSupabasePostgreSQLRailway

FRONTEND

ReactNext.jsTypeScriptTailwind CSSHTMLCSSJavaScript

MOBILE

React Native (Expo)

TOOLS

Git & GitHubFigmaVS CodeDockerKubernetes

DEV WORKFLOW

ClaudeChatGPTGitHub CopilotGeminiv0 by Vercel

04 // CONTACT

get in touch

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