Rainzle John
Estuesta

Computer Science · Data Science

I am an AI Engineer and a Data Scientist who enjoys creating practical applications, such as AI assistants, language tools, interactive maps and data visualizations.

github linkedin huggingface

Projects

Featured projects

01Project SBAFNAn interactive map of street-level flood-proneness scores in Manila.GEOSPATIAL MACHINE LEARNING

Collected the digital elevation model (DEM) dataset and integrated it into the backend.
Built parts of the Flutter interface and map interactions.
Connected the model’s scores to the map.

My roleData & frontend integration

Python / LightGBM / YOLOv11 / Flutter / MapTiler

Read case study Explore the project

Experimental flood-proneness scores, not live forecasts. Refer to official local hazard information.

Project SBAFN map showing street-level flood-proneness scores in Manila

PROJECT SBAFN / MANILA

02Taglish Sentiment AnalysisAn XLM-R sentiment model trained on synthetic Tagalog-English intake responses.NATURAL LANGUAGE PROCESSING

Led the NLP pipeline and generated synthetic data, with validation involving a licensed psychologist.
Implemented training and evaluation with class-weighted cross-entropy loss.
Compared transformer models and selected XLM-R.

My roleNLP pipeline development

Python / PyTorch / Hugging Face / XLM-RoBERTa / Pandas

Read case study View the model

Outputs sentiment, not diagnoses. Trained on synthetic data; real intake data needs separate evaluation.

TAGLISH SENTIMENT

“Okay naman ako,
pero medyo pagod.”

TagalogEnglishContext

Question + answerXLM-RSentiment

EXAMPLE INPUT

03DashGovAn interactive explorer for Philippine budget allocations, with Sankey charts and department-level discussions.CIVIC TECH · DATA VISUALIZATION

Developed the budget explorer with year selection, Sankey charts, and allocation drill-down.
Built a spreadsheet importer to organize GAA data into departments, agencies, and programs.
Connected budget allocations to a discussion forum.

My rolePersonal project · Web development

Next.js / TypeScript / Nivo / SQLite / Tailwind CSS / ExcelJS

Read case study Explore DashGov GitHub

GovAI currently uses sample responses. Document-backed AI answers are planned.

DashGov dashboard with Philippine budget allocations, department charts, and the GovAI prototype

Background

Experience & education

I studied Computer Science at Enverga University, specializing in Data Science.

I work on retrieval systems and LLM workflows, alongside projects in machine learning and app development.

AI & retrieval

RAG · GraphRAG · Agentic AI · Prompt engineering · OpenAI API · Gemini API · PostgreSQL / pgvector · n8n

Data & machine learning

Python · Pandas · scikit-learn · PyTorch · LightGBM

Language & NLP

Hugging Face · Transformers · XLM-RoBERTa

Applications

Flutter · Dart · Riverpod · Hive

Certifications

Jun 2026—PresentCurrent
Junior Context Engineer
Open iT, Asia Inc.
Full-time
RAG · Agentic AI development · AI Engineering · .NET Framework
- Co-developer of Open iT Insight, the company’s AI agentic chatbot
- Focus on AI engineering and collaborate with teams across departments.
- Part of the Data Science Team
Feb 2026—May 2026
Context Engineer Intern
Open iT, Asia Inc.
Internship · Hybrid
- Built RAG pipelines with PostgreSQL/pgvector and GraphRAG with triple extraction, multi-hop traversal, and weighted document ranking.
- Developed Recursive Language Model (RLM) orchestration with ReAct reasoning, sandboxed sub-agents, and cited answers.
- Integrated OpenAI for extraction, embeddings, and generation; built an n8n agent for code generation.
- Built PDF, DOCX, XLSX, and CSV ingestion with chunking, entity normalization, and embedding-based deduplication.
2022—2026
BS Computer Science
Enverga University
Graduated Magna Cum Laude