Fikram Khaykal Lazuardi

Key Skills

Software

Data Annotation Tech

Remotasks

Scale AI

Other

Top Subject Matter

Data labeling and training AI systems for geospatial analysis, mining operations, and geological modeling

I training in numerical analysis, mathematical modeling, and physical simulations

Data annotation and AI systems for environmental monitoring, biodiversity studies, and ecological research.

Top Data Types

Computer Code Programming

Geospatial Tiled Imagery

Image

Top Task Types

Classification

Geocoding

Prompt Response Writing SFT

Question Answering

Text Summarization

Freelancer Overview

With a solid background in geoscience, mining, and scientific disciplines such as mathematics, physics, and biology, I specialize in AI training and data labeling for diverse industries. My expertise spans geological resource estimation, geospatial data analysis, and environmental data handling, where I have contributed to projects involving satellite image classification and AI-driven simulations. Additionally, I have experience in applying mathematical and physics-based principles to AI modeling and simulations. I have also taught AI on platforms such as Outlier AI and Remotask, where I worked on addressing data labeling challenges for companies like MM-Smoothie SFT, West Wizards, Blue Wizards, Mechanic RainStorm, and Flamingo Evals. This experience has enhanced my skills in managing large-scale data tasks, ensuring the quality of annotations, and contributing to the successful deployment of AI models. My qualifications include certifications in Python programming, geospatial software (QGIS, ArcGIS), and geological modeling, all of which enable me to provide high-quality training data for AI systems across various sectors. I am committed to precision and maintaining high standards in all data labeling and AI training efforts.

Labeling Experience

AI Data Labeling & Annotation for Outlier AI - Multiple Projects

Scale AIImageSegmentationClassification

In these diverse AI data labeling projects, I contributed to a range of industries including mathematics, statistics, and historical data analysis. I performed tasks such as classifying and annotating mathematical models, analyzing historical text, and annotating data relevant to statistical analysis and machine learning models. Key responsibilities included: Labeling and classifying complex datasets, such as statistical data and historical texts, ensuring alignment with AI model requirements. Conducting segmentation and object detection on data relevant to mathematical and statistical modeling. Assisting with the fine-tuning and evaluation of models for historical data processing, statistical predictions, and AI-based research applications. Implementing advanced data analysis and research methodologies to improve AI model performance. These projects have provided me with a strong understanding of the intersection between AI and fields like mathematics, history, and statistics, making

In these diverse AI data labeling projects, I contributed to a range of industries including mathematics, statistics, and historical data analysis. I performed tasks such as classifying and annotating mathematical models, analyzing historical text, and annotating data relevant to statistical analysis and machine learning models. Key responsibilities included: Labeling and classifying complex datasets, such as statistical data and historical texts, ensuring alignment with AI model requirements. Conducting segmentation and object detection on data relevant to mathematical and statistical modeling. Assisting with the fine-tuning and evaluation of models for historical data processing, statistical predictions, and AI-based research applications. Implementing advanced data analysis and research methodologies to improve AI model performance. These projects have provided me with a strong understanding of the intersection between AI and fields like mathematics, history, and statistics, making

2023

Education

Work History