Nilo G.

Key Skills

Software

Don't disclose

OpenCV AI Kit (OAK)

Top Subject Matter

AI/ML integration with YOLOv8 object detection (supporting application integration rather than dataset labeling).

Vision AI object detection for fall-prevention (YOLOv

and visualization of detection outputs.

Top Data Types

Image

Document

Top Task Types

Object Detection

Data Collection

Freelancer Overview

Full-Stack Software Engineer (Independent / Remote). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and OpenCV AI Kit (OAK). Education includes Bachelor of Science in Information Technology, Bukidnon State University (BukSU) (2026). AI-training focus includes data types such as Computer Code, Programming, and Image and labeling workflows including Computer Programming, Coding, and Object Detection.

Labeling Experience

Full-Stack Software Engineer (Independent / Remote)

Don't disclose

Contributed to AI/ML-oriented systems by building and integrating components that prepare and utilize YOLOv8 object-detection outputs. Implemented a Flutter-based alumni tracking product and multiple platform features using end-to-end engineering practices. Supported automated digital workflows that rely on ML-driven object-detection data pipelines. • Designed and deployed full-stack platforms covering database design to frontend deployment. • Built a grading platform and a document request system to digitize operational processes. • Engineered mobile/web analytics to monitor employment outcomes dynamically. • Delivered zero-regression deployments using a strict TDD workflow.

2024 - Present

Frontend Engineer, FoolersForge (Live Interactive Platform)

Don't discloseData Collection

Built an interactive platform intended to support user-driven data generation for downstream use. Implemented dynamic UI rendering and state management to enable concurrent user interactions. The work supports capturing interaction data that can later be curated or used in AI/data workflows. • Designed and deployed a live interactive web application. • Managed complex state and dynamic UI rendering for concurrent users. • Enabled user interactions that can serve as training/evaluation data inputs. • Delivered a functioning frontend for real-time platform usage.

2026 - 2026

Lead Developer, Smart Baby Crib (AI + IoT Integration)

OpenCV AI Kit (OAK)ImageObject Detection

Led an AI computer-vision project using the YOLOv8 model for object-detection based fall-prevention. Developed supporting application components to deliver real-time hardware alerts from detected events. Created a web dashboard to aggregate and visualize object-detection results for future academic research. • Built an IoT-integrated fall-prevention system using Python and YOLOv8. • Programmed a native Java mobile app for real-time hardware alerts. • Implemented a web dashboard to visualize object-detection data. • Produced outputs intended for ongoing research and evaluation.

2024 - 2025

Education

Work History