Felix A.

Key Skills

Software

AWS SageMaker

Labelbox

Mindrift

Playment

Remotasks

Scale AI

Telus

Top Subject Matter

AI code generation and evaluation (Python/SQL)

Advertising AI dataset creation and preparation

Top Data Types

Computer Code Programming

Document

Image

Text

Top Task Types

Computer Programming/Coding

Data Collection

Evaluation/Rating

Fine-tuning

Prompt + Response Writing (SFT)

Entity (NER) Classification

Point/Key Point

Transcription

Text Summarization

Question Answering

Text Generation

Object Detection

Bounding Box

Freelancer Overview

AI Engineer – AI Rubric Creation and Evaluation. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus and TensorFlow. Education includes Master of Engineering, University of Bristol (2023) and Secondary Education Certificate (A Levels and GCSEs), Westminster School (2019). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

AI Engineer – AI Rubric Creation and Evaluation

Telus

In this role, I created rubrics and trained AI systems to generate Python and SQL code based on user input. My responsibilities included evaluating and verifying AI trainer inputs to ensure data quality, and refining model loss and gradient functions during training loops. I was tasked with improving AI output quality by designing and adjusting rubrics for technical accuracy. • Developed benchmarks and criteria to assess AI-generated code outputs. • Evaluated user-generated code to enhance dataset complexity and correctness. • Provided corrective feedback for AI and trainer submissions, strengthening Python and SQL code outputs. • Utilized internal/proprietary tools provided by Telus to guide the training and evaluation process.

2024 - 2025

Data Analyst – Data Pipeline for AI Training

TextData Collection

As a Data Analyst at Publicis Media, I led data training and automation to build advertising AI datasets. My daily activities involved using data scraping tools and TensorFlow to create and refine training data. The focus was supporting machine learning models for digital advertising effectiveness. • Collected, cleaned, and formatted large text datasets for training. • Automated data ingestion workflows using Python and commercial toolkits. • Coordinated annotation pipeline with the AI engineering team. • Utilized TensorFlow to process data for model readiness.

2023 - 2024

Education

Work History