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Ivan Arsyaditya Prananda

Ivan Arsyaditya Prananda

AI/ML Engineer with Computer Vision & LLM Experience | Python, TensorFlow

Indonesia flagJakarta Selatan, Indonesia
$8.50/hrIntermediateGoogle Cloud Vertex AI

Key Skills

Software

Google Cloud Vertex AIGoogle Cloud Vertex AI

Top Subject Matter

Agriculture – Coffee Plant Health and Quality
Human Resources – Human Capital Knowledge

Top Data Types

DocumentDocument
ImageImage
TextText

Top Task Types

Bounding BoxBounding Box
Fine-tuningFine-tuning
RoutingRouting
Translation/LocalizationTranslation/Localization
ClassificationClassification
Text GenerationText Generation

Freelancer Overview

My experience in AI and machine learning gives me a strong foundation for data labeling and training data work. Through Bangkit Academy's Machine Learning path and hands-on project work, I've developed a clear understanding of how data quality directly impacts model performance — from feature engineering to working with embedding-based systems that rely on well-structured, semantically consistent datasets. I hold a TensorFlow Developer Certificate and NVIDIA Deep Learning certification, and I've applied these in real production environments. Most recently, I built a Retrieval-Augmented Generation system using IndoBERT and Milvus, where curating and structuring the knowledge corpus was a critical part of the pipeline. This gave me practical exposure to the kind of precision and consistency that training data annotation requires. I approach labeling tasks with an engineer's mindset — understanding why a label matters to the downstream model, not just following a rubric mechanically.

IntermediateEnglish

Labeling Experience

Data Management & Analytics Specialist

TextText Generation
Developed a generative text AI solution with LLM integration for the Human Capital Group by training and validating model responses. Labeled and curated a diverse dataset of HR knowledge and human capital scenarios for generative response modeling. Implemented iterative refinement cycles to improve LLM outputs based on real employee queries. • Focused on Human Resource domain data • Ensured effective harvesting and structuring of knowledge base • Performed evaluation and enhancement of AI-generated responses • Contributed to significant efficiency improvement in HR processes

Developed a generative text AI solution with LLM integration for the Human Capital Group by training and validating model responses. Labeled and curated a diverse dataset of HR knowledge and human capital scenarios for generative response modeling. Implemented iterative refinement cycles to improve LLM outputs based on real employee queries. • Focused on Human Resource domain data • Ensured effective harvesting and structuring of knowledge base • Performed evaluation and enhancement of AI-generated responses • Contributed to significant efficiency improvement in HR processes

2024 - 2025

Machine Learning Path Participant

ImageClassification
Developed an application called 'Co-ffee' to detect coffee plant diseases and classify moisture content in green coffee beans using computer vision techniques. Labeled and classified images of coffee plants and green coffee beans with a focus on disease identification and moisture status. Achieved high accuracy metrics for both plant disease detection and moisture content classification. • Used computer vision models for classification tasks • Coordinated labeling efforts within a collaborative project team • Applied data annotation best practices using open-source CV libraries • Project completed within a 3-month intensive training program

Developed an application called 'Co-ffee' to detect coffee plant diseases and classify moisture content in green coffee beans using computer vision techniques. Labeled and classified images of coffee plants and green coffee beans with a focus on disease identification and moisture status. Achieved high accuracy metrics for both plant disease detection and moisture content classification. • Used computer vision models for classification tasks • Coordinated labeling efforts within a collaborative project team • Applied data annotation best practices using open-source CV libraries • Project completed within a 3-month intensive training program

2022 - 2022

Education

U

Universitas Dian Nuswantoro

Bachelor of Science, Informatics Engineering

Bachelor of Science
2019 - 2023
U

Universitas Gadjah Mada

Student Exchange Program, Computer Science

Student Exchange Program
2021 - 2021

Work History

P

PT Gunung Sewu Kencana

IT Analyst and Support

Jakarta Selatan
2025 - Present
G

Gunung Sewu Kencana

IT Analyst

Jakarta Selatan
2025 - Present