Julio G.

Key Skills

Software

Other

Top Subject Matter

Computational Imaging & Signal Processing

LLMs / Generative AI Alignment (RLHF)

Multimodal Data Evaluation (Text/Image/Video/Audio)

Top Data Types

Image

Text

Audio

Top Task Types

Classification

RLHF

Bounding Box

Segmentation

Transcription

Evaluation/Rating

Question Answering

Text Generation

Freelancer Overview

As a Systems Engineer and Junior Researcher with a focus on Deep Learning, I possess extensive experience in the AI data lifecycle, ranging from scientific data acquisition to the refinement of frontier models. My professional background centers on optimizing Large Language Models (LLMs) through Reinforcement Learning from Human Feedback (RLHF) and high-precision technical auditing to ensure logical factuality and safety within complex workflows. I specialize in the evaluation of multi-turn conversations and the semantic alignment of multimodal data, including text, image, video, and audio, ensuring model responses remain coherent across diverse input modalities. What sets me apart is the integration of academic scientific rigor with technical execution in large-scale AI training platforms. I have managed everything from the construction of multispectral databases for research to the benchmarking of generative models using proprietary tools and advanced classification and alignment protocols. My ability to apply research methodologies to data validation allows me to identify edge cases and enhance the robustness of AI architectures with a superior level of analytical detail.

Labeling Experience

AI Training Annotator (Aether Project)

TextRLHF

Specialized in the alignment and fine-tuning of frontier Large Language Models (LLMs) via Reinforcement Learning from Human Feedback. Evaluated and audited multi-turn dialogues, ensuring context and logical consistency in model responses. Conducted adversarial and instruction-following evaluations across multimodal datasets. • Designed test prompts to identify model hallucinations. • Performed high-level evaluation of model outputs. • Executed audio-to-text and video-to-text assessment tasks. • Assessed cross-modal factual consistency in outputs.

2023 - Present

Junior Researcher (Data Acquisition & Labeling)

OtherImageClassification

Managed the acquisition and organization of a multispectral cocoa image database for classification tasks. Labeled spectral signatures of biological samples using VIS-NIR multispectral imaging protocols. Implemented data validation and cross-validation methods such as PCA/LDA to ensure data quality. • Led the end-to-end process of dataset construction. • Maintained high accuracy standards in sample labeling. • Conducted data preprocessing and integrity checks. • Facilitated collaboration with research and engineering teams.

2024 - 2025

Education

Work History