Alexander Yohannes

Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Top Label Types

RLHF

Fine Tuning

Red Teaming

Computer Programming Coding

Function Calling

Freelancer Overview

I am an experienced AI/ML engineer and data scientist with a strong background in data annotation, data labeling, and AI training data for reinforcement learning with human feedback (RLHF) projects. My work includes training and fine-tuning large language models (LLMs), benchmarking and adversarial testing of agentic frontier models, and optimizing data pipelines for efficient handling of large datasets. I am proficient in Python, PyTorch, TensorFlow, Keras, and data visualization tools like Seaborn and Jupyter Notebooks. I have contributed to projects involving NLP, computer vision, and generative AI, and have mentored over 1,000 learners while reviewing more than 10,000 project submissions. My expertise also extends to statistical data analysis, synthetic data generation, and implementing secure, privacy-focused open source solutions, making me well-equipped to ensure high-quality, accurate AI training data across diverse domains.

Labeling Experience

Data Scientist, Worker, Worker Reviewer, Project Administrator

Data Annotation TechComputer Code ProgrammingRLHFFine Tuning

I have worked across a wide range of projects, which included generalist project, STEM projects, MATH project, and Coding Projects in particular. Lately a focus was lied of agentic work and adversarial testing, or comparison of different frontier agentic models performances.

I have worked across a wide range of projects, which included generalist project, STEM projects, MATH project, and Coding Projects in particular. Lately a focus was lied of agentic work and adversarial testing, or comparison of different frontier agentic models performances.

2024

Education

Work History