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Derril Filemon

Derril Filemon

AI Engineer

SWEDEN flag
Västra Frölunda, Sweden
$25.00/hrExpertOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

DocumentDocument
ImageImage
VideoVideo

Top Label Types

Emotion Recognition
Entity Ner Classification
Object Detection

Freelancer Overview

I am an AI Engineer and Full-Stack Developer with hands-on experience building and deploying production-ready AI-powered web applications, many of which leverage large language models (LLMs) for intelligent automation, natural language processing, and data-driven features. My background includes integrating and managing AI APIs, developing secure backend services, and designing end-to-end systems that process and annotate data for real-world applications. I have worked extensively with Python, JavaScript, TypeScript, React, and Node.js, as well as cloud platforms, to create scalable solutions that automate data labeling workflows and support AI training data pipelines. My focus on automation, performance, and maintainability allows me to deliver reliable tools for data annotation and model improvement across domains such as NLP and intelligent user interaction.

ExpertDutchEnglishSwedishNorwegian

Labeling Experience

Autonomous Data Labeling Platform

Don T DiscloseVideoEmotion RecognitionObject Detection
Production-grade, AI-powered human-in-the-loop data labeling system with active learning and quality assurance. This project is a full-stack Autonomous Data Labeling Platform designed to accelerate machine learning pipelines by combining AI pre-labeling, human verification, and active learning in a single, production-ready system. The platform addresses one of the biggest bottlenecks in applied AI: high-quality labeled data at scale.

Production-grade, AI-powered human-in-the-loop data labeling system with active learning and quality assurance. This project is a full-stack Autonomous Data Labeling Platform designed to accelerate machine learning pipelines by combining AI pre-labeling, human verification, and active learning in a single, production-ready system. The platform addresses one of the biggest bottlenecks in applied AI: high-quality labeled data at scale.

2025 - 2025

Education

L

LOI Hogeschool

Bachelor of Science, Software Engineering

Bachelor of Science
2012 - 2012
H

Hogeschool Utrecht

Bachelor of Science, Business Management

Bachelor of Science
2002 - 2002

Work History

I

Independent

AI Engineer & Full-Stack Developer

Gothenburg
2021 - Present
D

DHL Freight

Outbound Logistics Associates

Västra Frölunda
2017 - Present