Al C.

Key Skills

Software

Labelbox

Other

Top Subject Matter

Computer Vision & Edge AI

Software Engineering & Backend Systems

AI Training Data – Computer Vision & Image Annotation

Top Data Types

Image

Computer Code Programming

Top Task Types

Bounding Box

Segmentation

Polygon

Point/Key Point

Freelancer Overview

I have experience building and supporting AI training data pipelines focused on computer vision, annotation workflows, and distributed inference systems. I developed PIPELINE, an asynchronous annotation platform built with FastAPI and Celery that converts raw vision-language model outputs into validated datasets for supervised fine-tuning (SFT) and RLHF evaluation workflows. The system included deterministic postprocessing, validation logic, retry-safe orchestration, and scalable background task processing for handling long-running inference jobs. I also worked on edge-based computer vision systems using YOLOv8, ArcFace, FAISS, and OpenCV for attendance analytics, motion detection, and behavioral tracking in constrained hardware environments. My strengths are in building reliable backend infrastructure around AI systems rather than manual labelling alone. I have experience designing data processing pipelines, enforcing data consistency, optimising asynchronous workloads, and managing distributed systems that support large-scale annotation and inference operations. I am comfortable working with structured datasets, validation tooling, API-driven workflows, and quality control systems for training data generation and evaluation.

Education

Work History