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About

Grounded in data.
Driven by curiosity.

Zaenal Syamsyul Arief wearing a black suit and glasses
Zaenal Syamsyul AriefData & AI Engineer

I work where data, machine learning, and useful software meet.

I'm an Informatics graduate based in Garut, West Java, Indonesia. My work spans data collection and preparation, model development, and the application services that connect them.

At NoLimit Indonesia, I worked on social-media data pipelines, NLP models, and tools for human review. I have also supported AI teaching at Institut Teknologi Garut and work as a freelance Data & AI Engineer at PURU Software Agency.

I'm particularly interested in NLP, LLM applications, and the practical engineering that turns an experiment into a usable product.

Experience.

Work across data engineering, applied AI, and technical education.

Current

PURU Software Agency

Freelance Data & AI Engineer

Turning web data into structured datasets for client projects.

  • Developed web-scraping workflows for historical Facebook data from 2018 to 2026 and articles from websites.
  • Applied ETL workflows to clean, normalize, transform, and organize scraped records for analysis and client use.
  • Compiled structured business-partner profiles covering company information, sectors, addresses, and logos.

Tools: Python, Web Scraping, ETL, Data Processing

Feb 2026 - Jul 2026

Institut Teknologi Garut

Artificial Intelligence Teaching Assistant

Helping students understand and debug machine-learning workflows.

  • Assisted AI practicum sessions covering Python, preprocessing, machine-learning implementation, and model evaluation.
  • Helped students troubleshoot code and diagnose errors in preprocessing and model pipelines.
  • Emphasized understanding the cause of errors and the reasoning behind each solution.

Tools: Python, Machine Learning, Data Preprocessing, Model Evaluation

Jul 2025 - Nov 2025

NoLimit Indonesia

Data Science Intern

Developed data workflows, NLP models, and review tools for social-media analysis.

  • Collected, cleaned, and analyzed digital and social-media data using Python and Elasticsearch to support model development and actionable insights.
  • Built a Streamlit Validator Panel combining API and file retrieval, manual sentiment review, semantic clustering, LLM-assisted labeling, access roles, and audit trails.
  • Trained and evaluated NLP models for social-media text analysis; collaborated with the team on testing and optimization for digital monitoring and sentiment analysis.
  • Prototyped hybrid bot detection using behavioral rules and profile-image classification, and implemented language-specific sentiment inference for English, Mandarin, Malay/Indonesian, and Tamil.

Tools: Python, Machine Learning, NLP, Streamlit, Elasticsearch, Hugging Face

Education & continued learning.

September 2022 - September 2026

Institut Teknologi Garut

Bachelor of Informatics Engineering

GPA 3.92 / 4.00

February - July 2025

Machine Learning Engineer Cohort

Coding Camp powered by DBS Foundation

Project-based training in machine learning, deep learning, NLP, computer vision, ETL, recommendation systems, and model evaluation.

Selected certifications.

View all certificates

Tools, in context.

A practical toolkit for preparing data, developing models, and bringing AI into applications.

Generative AI

LLMs, RAG, Fine-tuning, Hugging Face Transformers, PEFT, PyTorch