Moazzam W.

Key Skills

Software

Other

Top Subject Matter

AI ethics training and governance

Healthcare AI model development and dataset preparation

Legal Services & Contract Review

Top Data Types

Text

Video

Document

Top Task Types

Fine-tuning

Data Collection

Freelancer Overview

Founder — AI Powered Ethical Learning (Ethos Explorer). Brings 22+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Internal, and Proprietary Tooling. Education includes Master's in Data Science, Collège de Paris (2024) and Bachelor's in Computer Science, PAF Karachi Institute of Economics & Technology (2005). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning and Data Collection.

Labeling Experience

Founder — AI Powered Ethical Learning (Ethos Explorer)

OtherTextFine-tuning

Built a self-learning AI ethics platform that uses AI-mediated decision-making simulations to support ethical training. Developed multi-agent debates and real-time ethical decision-making simulators to iteratively improve model behavior over time. Incorporated privacy-preserving federated learning so the training can evolve without exposing user data. • Created gamified interactive learning experiences to reinforce ethical reasoning • Implemented personalized learning paths and critical thinking coaching • Integrated real-time ethical risk scenarios for training practice • Designed multi-agent debate workflows for scenario-based learning

2025 - Present

Data Analyst (Aicure Dynamics)

TextData Collection

Led development and deployment of AI algorithms and models for healthcare solutions using machine learning and NLP. Collected and prepared relevant healthcare datasets and supported model development workflows for downstream AI use cases. Implemented data security practices to protect patient data used in model development. • Collaborated with technology partners to integrate new tools and workflows • Gathered customer feedback and analyzed user needs to guide model improvements • Maintained an end-user focused approach for applied healthcare AI • Ensured sensitive data handling during dataset preparation and model usage

2024 - 2025

Education

Work History