Christopher Leblanc

Key Skills

Software

Data Annotation Tech

AWS SageMaker

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Computer Code Programming

Image

Top Label Types

Computer Programming Coding

Data Collection

Evaluation Rating

Object Detection

Red Teaming

Freelancer Overview

I am an AI/ML scientist with hands-on experience designing and evaluating machine learning workflows that rely on high-quality data annotation and robust data pipelines. My work spans building and optimizing ML models for robotics at Amazon and analyzing large-scale public health datasets, where I developed and maintained end-to-end data pipelines, including data ingestion, cleaning, feature engineering, and structured storage. I am skilled in using tools such as PyTorch, TensorFlow, and scikit-learn, and have a strong foundation in data modeling, statistical validation, and model evaluation. I am adept at translating complex data processes and ML concepts into actionable insights for both technical and non-technical stakeholders, ensuring that data labeling and annotation processes align with operational, ethical, and regulatory standards.

Labeling Experience

AI Coding Evaluator

Data Annotation TechComputer Code ProgrammingEvaluation Rating

In this role, I evaluated and annotated AI-generated Python code to improve large language models. I wrote, edited, and debugged Python code solutions to serve as high-quality references for model training. My tasks included developing test cases, evaluation rubrics, and identifying edge cases through prompt workflows. • Assessed correctness, reasoning, and usability of AI outputs. • Provided structured feedback to enhance model performance. • Developed and maintained coding evaluation procedures. • Participated in ongoing team reviews and process improvements.

In this role, I evaluated and annotated AI-generated Python code to improve large language models. I wrote, edited, and debugged Python code solutions to serve as high-quality references for model training. My tasks included developing test cases, evaluation rubrics, and identifying edge cases through prompt workflows. • Assessed correctness, reasoning, and usability of AI outputs. • Provided structured feedback to enhance model performance. • Developed and maintained coding evaluation procedures. • Participated in ongoing team reviews and process improvements.

2023 - 2025

Research Scientist I

Aws SagemakerComputer Code ProgrammingComputer Programming Coding

• Designed and implemented ML models using PyTorch, TensorFlow, and scikit-learn, improving robotics decision-making. • Conducted model evaluation, feature engineering, and data quality analysis, ensuring reliable and reproducible results. • Contributed to internal reporting and presentations, effectively communicating technical outcomes to cross-functional teams

• Designed and implemented ML models using PyTorch, TensorFlow, and scikit-learn, improving robotics decision-making. • Conducted model evaluation, feature engineering, and data quality analysis, ensuring reliable and reproducible results. • Contributed to internal reporting and presentations, effectively communicating technical outcomes to cross-functional teams

2023 - 2023

Education

Work History